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Journal articles on the topic 'Smart (mini)grid'

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Author: Grafiati
Published: 14 March 2023

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1

Finke, Sebastian, Michele Velenderić, Semih Severengiz, Oleg Pankov, and Christof Baum. "Transition towards a full self-sufficiency through PV systems integration for sub-Saharan Africa: a technical approach for a smart blockchain-based mini-grid." Renewable Energy and Environmental Sustainability 7 (2022): 8. http://dx.doi.org/10.1051/rees/2021054.

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Access to affordable, reliable and clean energy is an important sustainability goal of the United Nations. In areas where the public electricity grid is unreliable or unavailable, photovoltaic systems can be a solution. However, they are cost-intensive, mainly because of the energy storage systems. Mini-grids can be an answer for reducing upfront investment and overall system lifetime costs while increasing electricity availability. The mini-grid technology is mature, nevertheless, there are downsides when it comes to integrating existing solar systems of different manufacturers. The system topology is usually predefined and a central instance controls the mini-grid. Thus, the integration of existing power systems is difficult due to the communication constraints of these systems with the mini-grid controller. Including existing power systems into a decentralized mini-grid, can highly increase cost-efficiency. In a decentralized approach payments for the consumed energy between mini-grid actors are required. Accounting is, however, a complex administrative procedure, if the respective power systems are owned by different individuals and organizations. A transparent blockchain-based temper-proof approach can be a solution to automate metering and billing, allowing automatic payments between independent subsystem owners using smart contracts. In order to further optimize the smart mini-grid, an artificial intelligence learning algorithm for a dynamic electricity price needs to be developed. This smart and decentralized approach for building Mini-Grids is a novelty bringing solar systems one step closer to self-sufficiency. This paper describes how a smart mini-grid solution can be implemented using the Don Bosco Solar & Renewable Energy Center campus mini-grid in Tema, Ghana as a case study.
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González Grandón, Tatiana, Fernando de Cuadra García, and Ignacio Pérez-Arriaga. "A Market-Driven Management Model for Renewable-Powered Undergrid Mini-Grids." Energies 14, no. 23 (November 24, 2021): 7881. http://dx.doi.org/10.3390/en14237881.

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Renewable-powered “undergrid mini-grids” (UMGs) are instrumental for electrification in developing countries. An UMG can be installed under a—possibly unreliable— main grid to improve the local reliability or the main grid may “arrive” and connect to a previously isolated mini-grid. Minimising costs is key to reducing risks associated with UMG development. This article presents a novel market-logic strategy for the optimal operation of UMGs that can incorporate multiple types of controllable loads, customer smart curtailment based on reliability requirements, storage management, and exports to and imports from a main grid, which is subject to failure. The formulation results in a mixed-integer linear programming model (MILP) and assumes accurate predictions of the following uncertain parameters: grid spot prices, outages of the main grid, solar availability and demand profiles. An AC hybrid solar-battery-diesel UMG configuration from Nigeria is used as a case example, and numerical simulations are presented. The load-following (LF) and cycle-charging (CC) strategies are compared with our predictive strategy and HOMER Pro’s Predictive dispatch. Results prove the generality and adequacy of the market-logic dispatch model and help assess the relevance of outages of the main grid and of spot prices above the other uncertain input factors. Comparison results show that the proposed market-logic operation approach performs better in terms of cost minimisation, higher renewable fraction and lower diesel use with respect to the conventional LF and CC operating strategies.
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Fursanov, M. I. "CIRCUIT-DESIGN SOLUTIONS AND INFORMATION SUPPORT OF CITY ELECTRIC NETWORKS IN THE CONDITIONS OF THE SMART GRID." ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations 60, no. 5 (September 28, 2017): 393–406. http://dx.doi.org/10.21122/1029-7448-2017-60-5-393-406.

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The structure, circuit-design solutions and information support of the city electric networks in the conditions of the SMART GRID have been analyzed. It is demonstrated that the new conditions of functioning of electric power engineering, increasing demands for its technological state and reliability in most countries determined the transition to a restructuring of electrical networks to be based on the SMART GRID (intelligent power networks) innovative new structure. The definitions of the SMART GRID, its various attributes and characteristics in most developed countries including Belarus are presented. It is revealed that the existing and future circuit and constructive solutions that can automate the process of managing modes of urban electric networks under the SMART GRID conditions are manifold. At present, the most common in distribution networks are the sources of distributed generation (combustion turbines, wind turbines, photovoltaic installations, mini-hydro, etc.). The patterns and problems of information traceability of a traditional urban networks of the unified energy system of Belarus have been analyzed, and it is demonstrated that in the conditions of the SMART GRID most of the problems of the control mode that are characteristic for traditional distribution networks 6–10 kV and 0.38 kV, lose their relevance. Therefore, the present article presents and features the main directions of development of automatic control modes of the SMART GRID.
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Keddar, Shafiqa, Scott Strachan, and Stuart Galloway. "A Smart eCook Battery-Charging System to Maximize Electric Cooking Capacity on a Hybrid PV/Diesel Mini-Grid." Sustainability 14, no. 3 (January 27, 2022): 1454. http://dx.doi.org/10.3390/su14031454.

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In this paper, eCook batteries are considered to be synonymous with those electric cooking devices (eCook), such as electric pressure cookers, induction cookers, hotplates or rice cookers, that can be connected to and supplied from a battery, which may or may not be fully integrated within the device. Connecting many eCook batteries can have an impact on the operation of a hybrid photovoltaic (PV)/diesel mini-grid network unless managed appropriately. The network could experience voltage fluctuations, system power losses and increased peak demand if all or most of the connected eCook batteries charge during a relatively “narrow” window of sunlight hours. Hence, this paper focuses on maximizing the number of eCook devices accommodated by the mini-grid, in keeping with increased consumer uptake, by regulating the charging rate (C-rate) of the eCook batteries themselves. The impact of varying the C-rate on the network constraints is assessed through a range of contextualized case studies. This entailed modeling an innovative smart eCook battery management system (EBMS) that actively monitors the state of the grid and decides on the eCook’s battery C-rate set-point required to address the network constraints. The results demonstrate that the EBMS can alleviate the impact of conventional eCook battery charging on the mini-grid network, as well as increase the quality of the charging service.
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5

Kolpakhchyan, Pavel G., Alexander R. Shaikhiev, Elena A. Yatsenko, Boris M. Goltsman, and Andrey S. Oshchepkov. "Gas micro-turbines with high-speed electric generators for local smart energy systems." Nexo Revista Científica 33, no. 01 (July 20, 2020): 77–83. http://dx.doi.org/10.5377/nexo.v33i01.10048.

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At present, the share of energy collected from renewable resources and low-power units is growing, and the generation becomes distributed, having many facilities that operate in co-generation mode. That is why the construction of an energy system with distributed heterogeneous sources and the improvement of its efficiency have become widely discussed issues. This paper proposes a solution of a local smart energy systemfortheTechnoEcoPark, a sciencepark of Rostov State Transport University, Rostov, Russia. The solution aims to integrate the distributed generation facilities, including environmentally friendly renewable resources, grid infrastructure and consumers with controllable and uncontrollable load. Theapproachtothe problem is the application of a smart control systemthatmanagesgeneration, distribution and consumptionof energy in a mini-CHP-based autonomous energy system. Such smart control systems reveal the trends of optimal energydistribution in a autonomousenergysystem. The study substantiates that installation of an in-house mini-CHP can solve the task of supplying heat and powertotheTechnoEcoPark. The important advantage of the solution is a significant reduction of expenses on energy consumption as the generation costs less compared to the grid tariffs. The proposed energy supply system of the TechnoEcoPark exemplifies the integration of heterogeneous heat and power sources and consumers into a commonnetwork. The paper outlines the mechanisms of the energy system efficiency improvement. These mechanisms make it possible to provide heat and power supply services to consumers and to return the generated power into the centralized grid. The materials of the paper can be of use to the specialists and researchers who are interested in generation and distribution of energy in autonomous systems.
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6

Stinder, Ann Kathrin, Sebastian Finke, Michele Vendeleric, and Semih Severengiz. "A generic GHG-LCA model of a smart mini grid for decision making using the example of the Don Bosco mini grid in Tema, Ghana." Procedia CIRP 105 (2022): 776–81. http://dx.doi.org/10.1016/j.procir.2022.02.129.

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7

Proietti, Stefania, Paolo Sdringola, Francesco Castellani, Davide Astolfi, and Elisa Vuillermoz. "On the contribution of renewable energies for feeding a high altitude Smart Mini Grid." Applied Energy 185 (January 2017): 1694–701. http://dx.doi.org/10.1016/j.apenergy.2015.12.056.

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Proietti, Stefania, Paolo Sdringola, Francesco Castellani, Alberto Garinei, Davide Astolfi, Emanuele Piccioni, Umberto Desideri, and Elisa Vuillermoz. "On the Possible Wind Energy Contribution for Feeding a High Altitude Smart Mini Grid." Energy Procedia 75 (August 2015): 1072–79. http://dx.doi.org/10.1016/j.egypro.2015.07.483.

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9

Quetchenbach, T. G., M. J. Harper, J. Robinson IV, K. K. Hervin, N. A. Chase, C. Dorji, and A. E. Jacobson. "The GridShare solution: a smart grid approach to improve service provision on a renewable energy mini-grid in Bhutan." Environmental Research Letters 8, no. 1 (February 12, 2013): 014018. http://dx.doi.org/10.1088/1748-9326/8/1/014018.

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10

Kweka, Ansila, Anna Clements, Megan Bomba, Nora Schürhoff, Joseph Bundala, Erick Mgonda, Mattias Nilsson, Elliot Avila, and Nigel Scott. "Tracking the Adoption of Electric Pressure Cookers among Mini-Grid Customers in Tanzania." Energies 14, no. 15 (July 28, 2021): 4574. http://dx.doi.org/10.3390/en14154574.

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“Are electric cooking appliances viable clean cooking solutions for mini-grids?” To help answer this question, the Access to Energy Institute (A2EI) set up a pilot project in six different mini-grid locations around Lake Victoria in Tanzania and gave 100 households an electric pressure cooker (EPC) to use in their homes. Each EPC was connected to a smart meter to collect data on how the EPCs were used. The paper presents findings from a study designed around the A2EI pilot project that aims to provide an understanding of cooking practices, the adoption of electric cooking over time, and to assess the potential for electric cooking to substitute traditional cooking fuels. Through collaboration with the Modern Energy Cooking Services (MECS) program, Nexleaf Analytics, and PowerGen, the pilot has generated data on electrical energy consumption from 92 households in six remote areas as well as a comprehensive range of other datasets gathered from 28 households in two of the locations. This paper presents a preliminary analysis of this data. It starts with an analysis of cooking practices in these communities—dishes cooked, utensils used for cooking, and choice of fuels. It goes on to examine fuel stacking behavior, and finally, it examines how people have integrated EPCs into their cooking practices before the highlighting key impacts associated with using EPCs. The answer to the original research question will be useful for different stakeholders such as utility companies, mini-grid operators, electric cooking appliance manufacturers, the clean cooking sector, and international organizations.
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11

Peña-Carro, Paula, and Oscar Izquierdo-Monge. "Hybrid AC/DC architecture in the CE.D.E.R.-CIEMAT microgrid: demonstration of the TIGON project." Open Research Europe 2 (October 26, 2022): 123. http://dx.doi.org/10.12688/openreseurope.15154.1.

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This article presents the demonstrative development of the Towards Intelligent DC-based hybrid Grids Optimizing the Network performance (TIGON) project at the Centre for the Development of Renewable Energy - Centre for Energy, Environmental and Technological Research (CE.D.E.R.-CIEMAT), as well as the established objectives to be achieved with the implementation of a microgrid with smart grid architecture based on direct current (DC) and integrated into the current energy system. This type of architecture is proposed as a future solution to reduce energy losses caused by DC-alternating current (AC) conversions, increasing the overall performance and profitability of hybrid grids. All this without forgetting to ensure the supply, stability and reliability of the system with the development of all the necessary equipment and protections to make this approach a reality. The microgrid design and process of implementation start from a transformation centre, from which the medium voltage direct current (MVDC) grid will be created by the solid-state transformer (SST). In the MVDC grid, we will find a bank of lead-acid batteries and other essential equipment in the microgrid, a DC/DC converter that will create the low voltage direct current (LVDC) grid. On the LVDC side, several branches have been designed to connect the rest of the systems: generation (mini-wind and photovoltaic), storage (lithium ferro-phosphate [LFP] batteries) and loads (AC and DC loads). Each of the equipment will have a connection to the DC grid through converters made exclusively for this equipment and connexion to the AC grid, which will allow us to obtain all the necessary data to carry out the required studies to achieve the established objectives of the project.
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12

Horng, Ji-Hwei, Shuying Xu, Ching-Chun Chang, and Chin-Chen Chang. "An Efficient Data-Hiding Scheme Based on Multidimensional Mini-SuDoKu." Sensors 20, no. 9 (May 11, 2020): 2739. http://dx.doi.org/10.3390/s20092739.

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The massive Internet of Things (IoT) connecting various types of intelligent sensors for goods tracking in logistics, environmental monitoring and smart grid management is a crucial future ICT. High-end security and low power consumption are major requirements in scaling up the IoT. In this research, we propose an efficient data-hiding scheme to deal with the security problems and power saving issues of multimedia communication among IoT devises. Data hiding is the practice of hiding secret data into cover images in order to conceal and prevent secret data from being intercepted by malicious attackers. One of the established research streams of data-hiding methods is based on reference matrices (RM). In this study, we propose an efficient data-hiding scheme based on multidimensional mini-SuDoKu RM. The proposed RM possesses high complexity and can effectively improve the security of data hiding. In addition, this study also defines a range locator function which can significantly improve the embedding efficiency of multidimensional RM. Experimental results show that our data-hiding scheme can not only obtain better image quality, but also achieve higher embedding capacity than other related schemes.
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13

Phukon, Abhijit, and Divya Verma Gakhar. "In Search of Structured Business Model for Renewable Energy Expansion in India." International Research Journal of Management, IT & Social Sciences 3, no. 1 (January 1, 2016): 44. http://dx.doi.org/10.21744/irjmis.v3i1.86.

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While overall power generation in India has been increasing over the years, the coverage of households in the energy access net (with 38% of total households or over 500 million people having no energy access) and availability of supply (at only 5-6 hours/day) are still prime concerns for the Government. In such a scenario, is renewable energy an alternative given the shortage of supply from conventional sources, with over 30,000 MW stranded power plants, commitment of the Government to set up 100 Smart Cities, High-speed/Semi-speed Rails, Industrial Corridors and more beyond that ‘power to all’ by 2022’ Through this study, an attempt has been made to understand the socio-economic-environmental impact of renewable energy expansion and examined the factors that govern the feasibility and/or viability in meeting the ambitious clean energy target of 175 GW set out by the Government. The key determinants of renewable energy are found to be functionality variation, pattern of household’s energy consumption, willingness-to-pay, behavioral change in tariff and cost, grid integration, energy efficiency and access to cheap green finance. Selective implementation of a combination of On-Grid, Off-Grid and localized Mini-Grids application and flexible revenue modality such as ‘Pay as-you-go’ in off-grid areas and ‘Net-metering’ or ‘Feed-in-tariff’ concept in grid-connected areas are best suited. Further, enforceable renewable purchase obligation, renewable generation obligation, faster and efficient implementation of renewable energy certificates as tradable commodity, carbon trading as a source of revenue, green marketing, mobilization of funds under corporate social responsibility and single procurement of all renewable energy by a centralized unit would go a long way in achieving the renewable targets.
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14

Melo, Gustavo Costa Gomes de, Igor Cavalcante Torres, Ícaro Bezzera Queiroz de Araújo, Davi Bibiano Brito, and Erick de Andrade Barboza. "A Low-Cost IoT System for Real-Time Monitoring of Climatic Variables and Photovoltaic Generation for Smart Grid Application." Sensors 21, no. 9 (May 10, 2021): 3293. http://dx.doi.org/10.3390/s21093293.

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Monitoring and data acquisition are essential to recognize the renewable resources available on-site, evaluate electrical conversion efficiency, detect failures, and optimize electrical production. Commercial monitoring systems for the photovoltaic system are generally expensive and closed for modifications. This work proposes a low-cost real-time internet of things system for micro and mini photovoltaic generation systems that can monitor continuous voltage, continuous current, alternating power, and seven meteorological variables. The proposed system measures all relevant meteorological variables and directly acquires photovoltaic generation data from the plant (not from the inverter). The system is implemented using open software, connects to the internet without cables, stores data locally and in the cloud, and uses the network time protocol to synchronize the devices’ clocks. To the best of our knowledge, no work reported in the literature presents these features altogether. Furthermore, experiments carried out with the proposed system showed good effectiveness and reliability. This system enables fog and cloud computing in a photovoltaic system, creating a time series measurements data set, enabling the future use of machine learning to create smart photovoltaic systems.
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Masip, Yunesky, Anibal Gutierrez, Joel Morales, Antonio Campo, and Meyli Valín. "Integrated Renewable Energy System based on IREOM Model and Spatial–Temporal Series for Isolated Rural Areas in the Region of Valparaiso, Chile." Energies 12, no. 6 (March 21, 2019): 1110. http://dx.doi.org/10.3390/en12061110.

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Providing energy to areas isolated from the electricity grid through the use of a smart integrated renewable energy system (SIRES) is proposed in this study for Valparaiso, Chile. The study analyzes the process of identifying the appropriate size of a SIRES considering technical and economic factors. An optimization model proposed in the literature was modified, and a subsequent spatial–temporal analysis of the different variables was conducted. The model comprises locally available renewable energy resources, such as biomass, biogas, wind power, solar photovoltaic, and thermal power. Furthermore, it was used to determine the energy potential of each of the isolated areas, identifying those areas in which the SIRES could be implemented as a sustainable solution. The design simulates the cost of the initial investment and energy generation in the chosen areas. The study also includes the selection of different system components and the use of the general model to determine the optimal combination of energy subsystems for isolated areas with the aim of minimizing the cost of energy generations. Finally, an economic evaluation showed that the use of a SIRES based mainly on solar energy supported by biomass, biogas, and mini-wind power costs approximately three times less than extending the electricity grid network.
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Girma, Zelalem. "Techno-Economic Feasibility of Small Scale Hydropower in Ethiopia: The Case of the Kulfo River, in Southern Ethiopia." Journal of Renewable Energy 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/8037892.

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This paper presents the technical and economic feasibility of grid connected small scale hydropower construction in selected site of the Kulfo River in southern Ethiopia. In doing so the paper presents the general overview of Ethiopia electric power situation; small scale hydropower situation and barriers and drivers for its development; site assessment and cost estimation methods and at the end presents techno-economic analysis of small scale hydropower development on the Kulfo River in southern Ethiopia. The technical and economic feasibility of the site have been studied by using HOMER, RETscreen, and SMART Mini-IDRO software. The result of simulation shows that the construction of small scale hydropower in the Kulfo River is technically and economically feasible with total net present cost of$13,345,150, cost of energy$0.028/kWh, simple payback period of 12.4 year, and internal rate of return 12.9%. The result also shows that construction of hydropower curtails greenhouse gas emissions such as carbon dioxide by 96,685,45 kg/year, sulfur dioxide by 4,1917 kg/year, and nitrogen dioxide by 20,500 kg/year.
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Byk, Felix, Pavel Ilyushin, and Lyudmila Myshkina. "Distributed Energy in Russia: State-of-the-Art and Prospects." Известия высших учебных заведений. Электромеханика 64, no. 6 (2021): 78–87. http://dx.doi.org/10.17213/0136-3360-2021-6-78-87.

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This paper dwells upon the state-of-the-art of the electric power industry in Russia and how its patterns will affect the transition and the approaches to further development of distributed energy (DE). The article lists the reasons why consumers are dissatisfied with the centralized electricity delivery system that hinders the country’s socioeconomic development. A comprehensive solution to the problem becomes imperative in light of the worsening availability and affordability of electric power infrastructures coupled with the need to improve the continuity of electricity delivery. DE can develop in two ways: creating industrial MiniGrids or local smart energy systems (LSES). Industrial MiniGrids benefit their owners locally but make the centralized electricity delivery system less efficient. Balanced utility LSES’s based on mini-CHPs of up to 25 MW in electrical capacity have system-wide benefits. Importantly, they must be connected to the distribution grids of grid operators that deliver electricity to individuals, small and medium-sized businesses. This helps even out the load schedule in Russia’s UES; however, it does not address flexibility concerns nor the lack of maneuvering capacity. LSES’s help reduce the crosssubsidizing of industrial and commercial consumers whilst facilitating the integrated implementation of demand response technology. The paper further outlines why implementing utility LSES’s as DE facilities in Russia’s UES and as actors in the retail electricity market is a viable solution. Russia’s situation favors the energy transition; yet more consistent steps are required if the process is to be controllable, manageable, and predictable.
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Fortkort, Martin, Sebastian Finke, and Semih Severengiz. "Blockchain-Based Consumer Stock Ownership Plans (CSOP) As a Catalyst For Impact Investments in Sustainable Energy Infrastructure." Renewable Energy and Environmental Sustainability 6 (2021): 43. http://dx.doi.org/10.1051/rees/2021043.

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The challenges of climate change and lack of access to electricity create an urgent need for sustainable energy infrastructure projects in developing countries. Sustainable impact investment schemes are a potential catalyst to finance such projects. A particularly sustainable financing option can be the Consumer Stock Ownership Plan (CSOP), combining the interests of impact investors and the local population. The infrastructure, e.g., a sustainable energy mini-grid, is owned by the investors and the local population at the same time. The population thus benefits from access to electricity and active participation in energy supply, while investors benefit from new forms of investment with social impact. However, CSOP is a complex model that requires a secure organisation and infrastructure. By integrating blockchain technology, the organisational structure of the model can be automatically managed via smart contracts, reducing the influence of intermediary institutions. This makes the investment more secure, transparent, and efficient. The paper outlines a concept for an impact investment CSOP model coupled with blockchain-based smart contracts as a scalable solution for sustainable energy infrastructure projects, in which the ownership of the infrastructure is transferred to the community over time. The model considers all relevant parameters before, during and after the life cycle of the energy infrastructure and aims to secure a sustainable long-term energy supply in developing countries through self-administration, educational measures, and participation of all stakeholders. In the next step, the concept developed in this paper will be applied to an energy infrastructure pilot project at the Don Bosco Solar and Renewable Energy Centre in Ghana.
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Sommeng, Andy Noorsaman, and Chrisnawan Anditya. "Boosting renewable power generation in Indonesia electricity sector: a policy action by the government." E3S Web of Conferences 67 (2018): 02060. http://dx.doi.org/10.1051/e3sconf/20186702060.

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Indonesia is committed to reducing Greenhouse Gas Emissions (GHG) by 29% against Business as Usual (BAU) projections in 2030 with its own efforts and 41% with international assistance as part of the Paris Agreement. In the management and utilization of electricity, the development of renewable energy (RE) power generation in Indonesia is carried out while taking into account the balance with other aspects, namely Energy Security, Energy Equity, and Energy Sustainability or called as Energy Trilemma. In accordance with PLN’s Electricity Supply and Demand Business Plan (RUPTL) 2018-2027 that has been approved by the Minister of Energy and Mineral Resources, the total capacity of RE power generation to be built up to 2025 is about of 14.3 GW consists of geothermal power generation (PLTP) of 4.6 GW; hydro power generation (including mini-hydro and pump storage): 7.7 GW; solar power generation (PLTS): 1.0 GW; wind power generation (PLTB): 0.6 GW; and biomass/waste power generation (PLTBm/PLTSa): 0.4 GW. The RE power generation to be developed is still dominated by "Non-Intermittent" RE power generation (89%). While the "Intermittent" RE power generation that will be developed is still relatively small, which is only about 11%. This is due to challenges in its development, namely PLN is the only "Off-Taker" in the electricity business, and not all RE power generation can be accepted by the electricity system. As an effort to improve the development of RE power generation, the policy actions that have been or will be implemented by the government are 1) Development of RE power generation should be consider the balancing between "supply and demand" and the readiness of the electricity system to tapping the RE power generation at the most competitive costs; 2) Development of Distributed Generation or Micro-Grid; 3) Revision of the Grid Code to accommodate the Intermittent RE power generator; 4) Development of Smart-Grid; and 5) Acceleration of the Electric Vehicle Program.
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Veichtlbauer, Armin, Alexander Heinisch, Ferdinand von von Tüllenburg, Peter Dorfinger, Oliver Langthaler, and Ulrich Pache. "Smart Grid Virtualisation for Grid-Based Routing." Electronics 9, no. 11 (November 8, 2020): 1879. http://dx.doi.org/10.3390/electronics9111879.

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Due to changed power consumption patterns, technological advance and deregulation, the appearance of the power grid in the low and medium voltage segment has changed. The spread of heating and cooling with electrical energy and an increase of electric vehicles as well as the broad rollout of photovoltaic systems has a major impact on the peak power demand of modern households and the volatility smart grids have to face. Thus, besides the load impact of the growing population of electric vehicles, modern households are not only consumers of electrical power, but also power producers, so called prosumers. The rising number of prosumers and the limitations of grid capacities lead to an increasingly distributed system of heterogeneous components, which have to be managed and operated with locality and scalability in mind. Virtualisation technologies, particularly known as state of the art in data centre computing, can lead to a paradigm shift needed to meet the growing demands of this evolution. A key issue here is to forward data to the correct data sinks, where data are required in order to keep the grid balanced. This routing process has to be able to react on grid changes in a timely manner, i.e., it must be based on the instantaneous state of the grid. In this paper, we propose a solution based on virtualising the communication infrastructure in the low and medium voltage grid. We evaluate two different approaches. The first approach is based on SDN; an ONOS SDN controller is used to change the behaviour of the communication infrastructure according to information provided by components of the power grid. The second approach uses Coaty and a Mosquitto MQTT broker to deliver messages to the desired endpoint, again based on information from the power grid.
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Petrova, Elena, Irina Usacheva, and Vitaly Revenko. "Behavior Strategies of an Industrial Enterprise on Energy Markets as a Tool for Implementing the Principles of Rational Behavior." Regionalnaya ekonomika. Yug Rossii, no. 1 (April 2021): 163–74. http://dx.doi.org/10.15688/re.volsu.2021.1.14.

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To ensure the sustainability of their market, energy-intensive industrial companies need to address energy efficiency issues. Companies that are prepared for higher tariffs, structural changes in fuel and energy markets, and shortages of energy resources have a wider range of options for responding to new challenges posed by the external environment and reducing their risks. This challenge becomes especially relevant in the context of the development of closed-loop economy aimed at resource optimization, energy conservation, zero-waste production and business models based on maximum operational efficiency. This research aims to build a comprehensive view of the rational behavior of industrial energy consumers in an effort to maximize the benefits and potential of energy markets to reduce the cost of energy supply, increase the level of electrification of industrial production and use the opportunity of their own energy business, as well as identify the main strategies of manufacturing companies in the energy market and the conditions for their effective implementation. The article describes the basic principles of rational behavior, which serve as a basis for the effective implementation of various strategies (seller’s, buyer’s or combined strategy) for industrial enterprises. The connection between rational behavior and management of the energy market potential in the company, as a combination of technological, economic and organizational actions, performed by the energy consumer in the competitive market, and effective management of market risks is shown. Forms of off-grid power supply and conditions of their application in production were analyzed on the example of mini-CHP. The offered classification of behavior strategies of an enterprise at the power market allows making a rational choice among various variants of behavior corresponding to concrete marketing purposes of the company. The choice can be made by analyzing the technological features of production processes, determining the marketing goals of the company, checking the volume of demand and the structure of demand (supply) for the main products of the company, as well as the amount of energy needed for production. It has been shown that as smallscale generation technologies become more advanced, having an on-site energy source becomes a more attractive option. Along with the penetration of smart technologies into core production practices and the transition to a new energy paradigm, conditions are created for the integrated use of various resource reserves.
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Surya, Sumukh, Mohan Krishna Srinivasan, and Sheldon Williamson. "Technological Perspective of Cyber Secure Smart Inverters Used in Power Distribution System: State of the Art Review." Applied Sciences 11, no. 18 (September 21, 2021): 8780. http://dx.doi.org/10.3390/app11188780.

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The purpose of smart grid architecture as compared to the conventional grid is to ensure more stability, reliability and bi-directional communication between the utility and the consumer. The deployment of the same has succeeded in improving the efficiency of the distribution systems and effective co-ordination and interoperability among the different components of the grid. Smart inverters play a major role in seamless grid integration, control and conversion of power when the renewable energy sources are present. However, they come with several security challenges as well, which are of considerable concern. Certain cyber threats include physical and cyber attacks, natural phenomena which in turn can lead to grid failure, blackouts, commercial energy losses, privacy and safety issues, etc. Therefore, there is a need for critical examination of all these issues which must be considered for designing cyber secure smart inverters at the distribution level. In this comprehensive review, keeping the technological perspective in mind, the existing gaps and the necessity for the same are highlighted. The various topologies, IEEE protocols and the control strategy are presented in detail. This will enable prospective researchers to address the design issues of smart inverters with greater focus on security and reliability aspects.
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Liu, Jiufu, Hongzhong Ma, Xiaolei Xie, and Jun Cheng. "Short Text Classification for Faults Information of Secondary Equipment Based on Convolutional Neural Networks." Energies 15, no. 7 (March 24, 2022): 2400. http://dx.doi.org/10.3390/en15072400.

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As the construction of smart grids is in full swing, the number of secondary equipment is also increasing, resulting in an explosive growth of power big data, which is related to the safe and stable operation of power systems. During the operation of the secondary equipment, a large amount of short text data of faults and defects are accumulated, and they are often manually recorded by transportation inspection personnel to complete the classification of defects. Therefore, an automatic text classification based on convolutional neural networks (CNN) is proposed in this paper. Firstly, the topic model is used to mine the global features. At the same time, the word2vec word vector model is used to mine the contextual semantic features of words. Then, the improved LDA topic word vector and word2vec word vector are combined to absorb their respective advantages and utilizations. Finally, the validity and accuracy of the model is verified using actual operational data from the northwest power grid as case study.
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Vasylets, Sviatoslav, and Kateryna Vasylets. "Determining optimal rated power of a photovoltaic station for mine dewatering." Eastern-European Journal of Enterprise Technologies 6, no. 8 (120) (December 30, 2022): 6–15. http://dx.doi.org/10.15587/1729-4061.2022.267034.

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The object of the study is the main dewatering system of the mine. Climate change has stimulated the refusal to use coal in many countries. In conditions of massive closure of mines, there is a need to pump out mine waters to avoid flooding. A significant water influx determines the high cost of electricity consumed by pumps. It is proposed to increase the efficiency of the mine dewatering system due to the introduction of a smart power supply grid with photovoltaic generation. The relative value of the annual balance of payment for energy consumption is chosen as an optimization parameter. The rated capacity of the photovoltaic station is optimized according to the criterion of approaching, with accuracy up to the permissible mismatch, the absolute value of the optimization parameter to zero. The relationship between the optimization parameter and the rated capacity of the photovoltaic station is represented by a parabolic regression. Regression parameters are estimated in the case study for a specific mine based on the results of a single-factor simulation experiment conducted using a computer model of a smart power grid. The randomness of natural, technical and economic factors is taken into account. Based on the prediction intervals for the regression, the optimal rated capacity of the photovoltaic station for the selected mine is estimated at 3.164 MW with a pump capacity of 1.732 MW. It was found that the annual energy savings for the case study conditions reach 3,745 MWh. Equipping the power supply grid of the main dewatering system with a photoelectric station of optimal configuration will reduce the cost of consumed electricity to several percent. This will make it possible to avoid financial costs for maintaining the balance of underground water and reduce the flooding probability of coal regions being transformed
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Xiong, Gu, Krzysztof Przystupa, Yao Teng, Wang Xue, Wang Huan, Zhou Feng, Xiang Qiong, et al. "Online Measurement Error Detection for the ElectronicTransformer in a Smart Grid." Energies 14, no. 12 (June 15, 2021): 3551. http://dx.doi.org/10.3390/en14123551.

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With the development of smart power grids, electronic transformers have been widely used to monitor the online status of power grids. However, electronic transformers have the drawback of poor long-term stability, leading to a requirement for frequent measurement. Aiming to monitor the online status frequently and conveniently, we proposed an attention mechanism-optimized Seq2Seq network to predict the error state of transformers, which combines an attention mechanism, Seq2Seq network, and bidirectional long short-term memory networks to mine the sequential information from online monitoring data of electronic transformers. We implemented the proposed method on the monitoring data of electronic transformers in a certain electric field. Experiments showed that our proposed attention mechanism-optimized Seq2Seq network has high accuracy in the aspect of error prediction.
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J, Archenaa, and E. A. Mary Anitha. "Protection Of Sequence and Communication Technology Equipment Using Smart Grid Application." Indonesian Journal of Electrical Engineering and Computer Science 9, no. 3 (March 1, 2018): 616. http://dx.doi.org/10.11591/ijeecs.v9.i3.pp616-618.

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<p>This paper investigates the merger of energy utility circuits with that of the data and correspondence innovation (ICT) gear under the keen matrix and the security suggestions that this postures, and figures out what is the most extreme voltage that ICT hardware, composed as per IEC 62368-1 can specifically get to control framework circuits. The coming of the keen lattice, the modernization of the power framework utilizing current data and correspondence innovation methods, alongside the expansion of electric vehicle frameworks to the matrix, guarantees to change the business in uncommon manners. In this paper will be utilized as a part of this paper for deciding the level of security of ICT gear must be built to keeping in mind the end goal to be conveyed in higher-voltage application.</p>
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Dieu Niyonteze, Jean De, Fumin Zou, Godwin Norense Osarumwense Asemota, and Samuel Bimenyimana. "Solar-powered mini-grids and smart metering systems, the solution to Rwanda energy crisis." Journal of Physics: Conference Series 1311 (September 2019): 012002. http://dx.doi.org/10.1088/1742-6596/1311/1/012002.

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Joseph, Aswathy, Jolanta Sobczak, Gaweł Żyła, and Suresh Mathew. "Ionic Liquid and Ionanofluid-Based Redox Flow Batteries—A Mini Review." Energies 15, no. 13 (June 21, 2022): 4545. http://dx.doi.org/10.3390/en15134545.

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Stationary energy storage methods such as flow batteries are one of the best options to integrate with smart power grids. Though electrochemical energy storage using flow battery technologies has been successfully demonstrated since the 1970s, the introduction of ionic liquids into the field of energy storage introduces new dimensions in this field. This reliable energy storage technology can provide significantly more flexibility when incorporated with the synergic effects of ionic liquids. This mini-review enumerates the present trends in redox flow battery designs and the use of ionic liquids as electrolytes, membranes, redox couples, etc. explored in these designs. This review specifically intends to provide an overview of the research prospects of ionic liquids for redox flow batteries (RFB).
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Du, Hongna. "Application of Internet of Things Architecture in Intelligent Classroom Teaching Analysis in Colleges and Universities." Mobile Information Systems 2022 (June 28, 2022): 1–7. http://dx.doi.org/10.1155/2022/4831937.

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Smart classroom is based on information technology, and its operation, upgrading, and development need technical support. At present, most of the smart classroom teaching adopts traditional architecture, highlighting the characteristics of disciplines, insufficient data processing, and narrow application fields. Based on this, this paper studies and analyzes the application of Internet of things architecture in college smart classroom teaching analysis. Based on the simple analysis of the development of intelligent algorithms and smart classrooms of the Internet of things, this paper constructs a smart classroom system based on the architecture of the Internet of things, transfers it to information-based teaching, introduces an intelligent service platform, and uses intelligent algorithms to mine and cluster data. The core algorithm is improved based on K-means algorithm and grid algorithm to improve the pertinence and effectiveness of the algorithm. Through the simulation results, the improved clustering analysis algorithm can shorten the running time and improve the clustering effect. At the same time, the application test results of the algorithm also show the superiority of the clustering results, which can provide more strategies for later teaching.
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Piggott, Christopher E., Zachary Caruso, and Nenad G. Nenadic. "Low-Cost Communication Interface between a Smart Meter and a Smart Inverter." Energies 16, no. 5 (March 1, 2023): 2358. http://dx.doi.org/10.3390/en16052358.

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The need for a low-cost interface between the grid and small (<250 kW) renewable distributed energy resources (DERs) is growing in importance as the number of small DERs continues to grow. In this study, a system architecture was proposed to investigate paths to an affordable interconnection for small renewable DERs.Then, a low-cost communication interface between a smart meter and smart inverter was installed using a commercially available bridge device. The interface device was selected based on an assessment concluding that it would be able to support the emerging advanced metering infrastructure (AMI) network. Next, messages were passed across the experimental end-to-end communication interface to test their speed and reliability. Success was based on whether the key functions defined in the standard IEEE 2030.5 were executed or not, which include set points, disconnect/reconnect, and Volt-VAr optimization. The results of the testing provided detailed insights into the benefits and limitations of the proposed architecture. Intermittency of weather-dependent DERs (e.g., solar and wind) adversely impacts the power quality of a DER, making hourly day-ahead prediction nearly impossible. With this in mind, the investigation also considered the potential of using smart inverter functions to reduce DER’s intermittency.
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Iqbal, Sajjad, Amin, Haroon, Liaqat, Khan, Waseem, and Shah. "Optimal Scheduling of Residential Home Appliances by Considering Energy Storage and Stochastically Modelled Photovoltaics in a Grid Exchange Environment Using Hybrid Grey Wolf Genetic Algorithm Optimizer." Applied Sciences 9, no. 23 (December 1, 2019): 5226. http://dx.doi.org/10.3390/app9235226.

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The transformation of a conventional power system to a smart grid has been underway over the last few decades. A smart grid provides opportunities to integrate smart homes with renewable energy resources (RERs). Moreover, it encourages the residential consumers to regulate their home energy consumption in an effective way that suits their lifestyle and it also helps to preserve the environment. Keeping in mind the techno-economic reasons for household energy management, active participation of consumers in grid operations is necessary for peak reduction, valley filling, strategic load conservation, and growth. In this context, this paper presents an efficient home energy management system (HEMS) for consumer appliance scheduling in the presence of an energy storage system and photovoltaic generation with the intention to reduce the energy consumption cost determined by the service provider. To study the benefits of a home-to-grid (H2G) energy exchange in HEMS, photovoltaic generation is stochastically modelled by considering an energy storage system. The prime consideration of this paper is to propose a hybrid optimization approach based on heuristic techniques, grey wolf optimization, and a genetic algorithm termed a hybrid grey wolf genetic algorithm to model HEMS for residential consumers with the objectives to reduce energy consumption cost and the peak-to-average ratio. The effectiveness of the proposed scheme is validated through simulations performed for a residential consumer with several domestic appliances and their scheduling preferences by considering real-time pricing and critical peak-pricing tariff signals. Results related to the reduction in the peak-to-average ratio and energy cost demonstrate that the proposed hybrid optimization technique performs well in comparison with different meta-heuristic techniques available in the literature. The findings of the proposed methodology can further be used to calculate the impact of different demand response signals on the operation and reliability of a power system.
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Laayati, Oussama, Mostafa Bouzi, and Ahmed Chebak. "Smart Energy Management System: Design of a Monitoring and Peak Load Forecasting System for an Experimental Open-Pit Mine." Applied System Innovation 5, no. 1 (January 30, 2022): 18. http://dx.doi.org/10.3390/asi5010018.

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Digitization in the mining industry and machine learning applications have improved the production by showing insights in different components. Energy consumption is one of the key components to improve the industry’s performance in a smart way that requires a very low investment. This study represents a new hardware, software, and data processing infrastructure for open-pit mines to overcome the energy 4.0 transition and digital transformation. The main goal of this infrastructure is adding an artificial intelligence layer to energy use in an experimental open-pit mine and giving insights on energy consumption and electrical grid quality. The achievement of these goals will ease the decision-making stage for maintenance and energy managers according to ISO 50001 standards. In order to minimize the energy consumption, which impact directly the profit and the efficiency of the industry, a design of a monitoring and peak load forecasting system was proposed and tested on the experimental open-pit mine of Benguerir. The main challenges of the application were the monitoring of typical loads machines per stage, feeding the supervisors by real time energy data on the same process SCADA view, parallel integrating hardware solutions to the same process control system, proposing a fast forest quantile regression algorithm to predict the energy demand response based on the data of different historical scenarios, finding correlations between the KPIs of energy consumption, mine production process and giving global insights on the electrical grid quality.
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Fursanov, M. А., and A. A. Zalotoy. "ON THE MANAGEMENT OF URBAN ELECTRIC NETWORKS IN THE CONDITIONS OF THE SMART GRID." ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations 61, no. 1 (January 23, 2018): 15–27. http://dx.doi.org/10.21122/1029-7448-2018-61-1-15-27.

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The issues of prospective operation of the city electric networks in the conditions of the MART GRID, which will be quite different as compared to the traditional understanding and approaches, are under consideration. This requires the selection and application of appropriate analytical criteria and approaches to assessment, analysis and control of the networks. With this regard the following criteria are recommended: in a particular case – the optimal (minimal) technological electric power consumption (losses), while in general – economically reasonable (minimal) cost value of electric power transmission. It should be also borne in mind that contemporary urban networks are actively saturated with distributed sources of small generation that have radically changed the structure of electrical networks; therefore, account for such sources is an absolutely necessary objective of management regimes of urban electric networks, both traditional and in associated with the SMART GRID. A case of the analysis and control of urban electric 10 kV networks with distributed small sources of generation has been developed and presented according to the theoretical criterion of minimum relative active power losses in the circuit as a control case. The conducted research makes it possible to determine the magnitude of the tolerance network mode from the point of the theoretical minimum.
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Liu, HuiJie, Yang Liu, and ChengWen Xu. "Application of Improved Deep Learning Method in Intelligent Power System." International Transactions on Electrical Energy Systems 2022 (November 24, 2022): 1–6. http://dx.doi.org/10.1155/2022/6788668.

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In view of the inaccurate short-term power load prediction in the power system, where the smart grid cannot effectively coordinate the production, transportation, and distribution of electric energy, the authors propose the application of improved deep learning methods in intelligent power systems. The method uses the convolutional neural network to establish the energy prediction calculation model, uses CNN adaptive data features to mine characteristics, quantifies power uncertainty, uses drop regularization to optimize the deep network structure, uses the deep forest to learn the extracted data features, and builds a prediction model, in order to achieve accurate prediction of power load and solve the problem that the accuracy of existing forecasting methods decreases due to random fluctuations of power. The results showed the following: in the power load forecast results over the weekend, the random forest and the LSTM algorithm forecast results were relatively close and the RMSEs were 17.3 and 17.1, respectively, while the SVM predicted a larger RMSE error of 27.5. The authors’ method predicts the best with 14.8. Conclusion. After verification based on actual load data, in the case of uncertain fluctuations in power load, this method can accurately predict the power load, and the accuracy is higher than that of the more popular methods at present, and it is expected to become an important technical support for solving the core problems of smart grid.
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Machalek, Derek, Aaron Young, Landen Blackburn, Pratt Rogers, and Kody M. Powell. "Mine operations as a smart grid resource: Leveraging excess process storage capacity to better enable renewable energy sources." Minerals Engineering 145 (January 2020): 106103. http://dx.doi.org/10.1016/j.mineng.2019.106103.

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36

Verdejo-Espinosa, Ángeles, Macarena Espinilla-Estévez, and Francisco Mata Mata. "Smart Grids and Their Role in Transforming Human Activities—A Systematic Literature Review." Sustainability 12, no. 20 (October 19, 2020): 8662. http://dx.doi.org/10.3390/su12208662.

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In this work, a systematic review of the literature has been carried out to analyse the design of intelligent networks in environments inhabited by people and the applications of sensors to improve quality of life and aid human activities. This study aims to answer three research questions. The first question is whether the design of smart grids is made with people in mind. The second question focuses on whether intelligent networks are being taken account of in the research on human activity recognition, the Internet of Things, and the recognition of activities of daily living. The third question looks at whether there are synergies and multidisciplinary teams studying state-of-the-art technologies applied to environments inhabited by elderly or disabled people. Installations with sensors deployed for the improvement of the quality of human life will also help to improve the quality of the intelligent network, thus integrating the Human–Technology binomial. This study concludes with an analysis of the results of the sources examined, putting forward a protocol of seven proposals to guide future work.
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Andrejevic-Stosovic, Miona, Marko Dimitrijevic, Slobodan Bojanic, Octavio Nieto-Taladriz, and Vanco Litovski. "Characterization of nonlinear loads in power distribution grid." Facta universitatis - series: Electronics and Energetics 29, no. 2 (2016): 159–75. http://dx.doi.org/10.2298/fuee1602159a.

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Electronic devices are complex circuits, consisting of analog, switching, and digital subsystems that require direct current (DC) for polarization. Since they are connected to the mains delivering alternating current (AC), however, AC-to-DC converters are to be introduced between the mains and the electronics to be fed. A converter is an electric circuit containing several subsystems, the most important being the switch-mode power supply, drawing power from the mains in pulses hence it is highly nonlinear. That happens, in reduced amplitude, even when the electronics to be fed is switched off. The process of AC-to-DC conversion is not restricted to feeding electronic equipment only. It is more and more frequently encountered in modern smart-grid facilities giving rise to the importance of the studies referred hereafter. The converter can be studied (theoretically or by measurements) as two-port network with reactive and nonlinear port-impedances. Characterization is performed after determining the port electrical quantities which are voltages and currents. Based on these data power and power quality parameters - power factor and total harmonic distortion- may be extracted. When nonlinear loads are present, one should introduce new ways of thinking into the considerations due to the existence of harmonics and related power components. In that way the power factor can be generalized to total or true power factor where the apparent power, involved in its calculations, includes all harmonic components. After introducing a wide range of definitions used in contemporary literature, here we describe our measurement set-up both as hardware and a software solution. The results reported unequivocally confirm the importance of the subject of characterization of small nonlinear loads to the grid having in mind their number which is rising without saturation seen in the near and even far future.
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Kolosok, S., A. Yevdokymova, P. Kucherenko, and D. Vodotyka. "ANALYSIS OF THE PRECONDITIONS FOR THE DEVELOPMENT OF ENERGY NETWORKS IN UKRAINE." Vìsnik Sumsʹkogo deržavnogo unìversitetu 2021, no. 1 (2021): 318–22. http://dx.doi.org/10.21272/1817-9215.2021.1-36.

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In many countries, the economy's energy sector is on the path of radical change and radical transformation. There are processes of mergers, acquisitions, changes in the structure of government, the boundaries of the sphere of activity, and territorial presence, forcing many former energy monopolies to use new models of value creation. In the EU, the USA, Japan, China, and other countries, smart energy networks and smart meters are positioned as priority areas for energy development shortly. Smart energy grids can empower consumers by making them more aware of energy consumption, forecasting, and demand management. Such networks contain tools to respond quickly to energy market price signals, flexibly increasing or decreasing energy consumption. According to the International Energy Agency forecast, a significant increase in global demand for energy resources (electricity, oil, and gas) is expected in the future. Under the pressure of this factor, a new sustainable business model of energy consumption is being formed, which is being scaled to consumers in all countries of the world. For Ukraine, the benefits of smart grids are particularly relevant, as energy infrastructure and systems are severely worn out both physically and morally. Quickly and flexibly managing infrastructure is crucial for balancing energy flows. With this in mind, economic agents of the energy market are faced with the need to implement new standards ratified by Ukraine in the framework of energy packages to continuously improve the efficiency and reliability of energy supply to meet the requirements for greenhouse gas emissions. Such changes include an analysis of the development of networks in view of existing requirements and prerequisites: replacement of fossil fuels with renewable energy sources; taking advantage of digital energy management technologies (e.g. IoT, blockchain); development of sustainable energy communities interested in improving the energy efficiency of both urban infrastructure as a whole and individual buildings; transition from centralized to decentralized energy generation.
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El Maghraoui, Adila, Younes Ledmaoui, Oussama Laayati, Hicham El Hadraoui, and Ahmed Chebak. "Smart Energy Management: A Comparative Study of Energy Consumption Forecasting Algorithms for an Experimental Open-Pit Mine." Energies 15, no. 13 (June 22, 2022): 4569. http://dx.doi.org/10.3390/en15134569.

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The mining industry’s increased energy consumption has resulted in a slew of climate-related effects on the environment, many of which have direct implications for humanity’s survival. The forecast of mine site energy use is one of the low-cost approaches for energy conservation. Accurate predictions do indeed assist us in better understanding the source of high energy consumption and aid in making early decisions by setting expectations. Machine Learning (ML) methods are known to be the best approach for achieving desired results in prediction tasks in this area. As a result, machine learning has been used in several research involving energy predictions in operational and residential buildings. Only few research, however, has investigated the feasibility of machine learning algorithms for predicting energy use in open-pit mines. To close this gap, this work provides an application of machine learning algorithms in the RapidMiner tool for predicting energy consumption time series using real-time data obtained from a smart grid placed in an experimental open-pit mine. This study compares the performance of four machine learning (ML) algorithms for predicting daily energy consumption: Artificial Neural Network (ANN), Support Vector Machine (SVM), Decision Tree (DT), and Random Forest (RF). The models were trained, tested, and then evaluated. In order to assess the models’ performance four metrics were used in this study, namely correlation (R), mean absolute error (MAE), root mean squared error (RMSE), and root relative squared error (RRSE). The performance of the models reveals RF to be the most effective predictive model for energy forecasting in similar cases.
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M. Busko, Jonnathan, and Thomas H. Blackwell. "Impact of A Pressure-Responsive Flow-Limiting Valve on Bag–valve–mask Ventilation in an Airway Model." CJEM 8, no. 03 (May 2006): 158–63. http://dx.doi.org/10.1017/s148180350001366x.

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ABSTRACT Objective: Using a simulated airway model, we compared ventilation performance by emergency medical services (EMS) providers using a traditional bag–valve–mask (Easy Grip®) resuscitator to their performance when using a new device, the SMART BAG® resuscitator, which has a pressure-responsive flow-limiting valve. Methods: We recruited EMS providers at an EMS educational forum and performed a randomized, non-blinded, prospective crossover comparison of ventilation with 2 devices on a non-intubated simulated airway model. Subjects were instructed to ventilate a Mini Ventilation Training Analyzer® as they would an 85-kg adult patient in respiratory arrest. After being randomized to order of device use, they performed ventilation for 1 minute with each device. Primary outcomes were ventilation rates and peak airway pressures. We also measured average tidal volume, gastric inflation volume, minute ventilation and inspiratory:expiratory (I:E) ratio, and compared our results to the American Heart Association standards (2005 edition). Results: We observed statistically significant differences between the SMART BAG® and the traditional bag–valve–mask for respiratory rate (12 v. 14 breaths/min), peak airway pressure (15.6 v. 18.9 cm H2O), gastric inflation (239.6 v. 1598.4 mL), minute ventilation (7980 v. 8775 mL), and I:E ratio (1.3 v. 1.1). Average tidal volume was similar with both devices (679.6 v. 672.2 mL). Conclusion: The SMART BAG® provided ventilation performance that was more consistent with American Heart Association guidelines and delivered similar tidal volumes when compared with ventilation with a traditional bag–valve–mask resuscitator.
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Mohamed, Mohamed A., Seyedali Mirjalili, Udaya Dampage, Saleh H. Salmen, Sami Al Obaid, and Andres Annuk. "A Cost-Efficient-Based Cooperative Allocation of Mining Devices and Renewable Resources Enhancing Blockchain Architecture." Sustainability 13, no. 18 (September 17, 2021): 10382. http://dx.doi.org/10.3390/su131810382.

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The impressive furtherance of communication technologies has exhorted industrial companies to link-up these developments with their own abilities with the target of efficiency enhancement through smart supervision and control. With this in mind, the blockchain platform is a prospective solution for merging communication technologies and industrial infrastructures, but there are several challenges. Such obstacles should be addressed to effectively adopt this technology. One of the most recent challenges relative to adopting blockchain technology is the energy consumption of miners. Thus, providing an accurate approach that addresses the underlying cause of the problem will carry weight in the future. This work addresses managing the energy consumption of miners by using the advantage of distributed generation resources (DGRs). Along the same vein, it appears that achieving the optimal solution requires executing the modified reconfirmation of DGRs and miners (indeed, mining pool systems) in the smart grid. In order to perform this task, this article utilizes the Intelligent Priority Selection (IPS) method since this method is up to snuff for corporative allocation. In order to find practical solutions for this problem, the uncertainty is also modeled as a credible index highly correlated with the load and generation. All in all, it can be said that the outcome of this research study can help researchers in the field of enhancement of social welfare by using the proposed technology.
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Le, Canh Van, Cuong Xuan Cao, Son Si Tong, and Hoa Van Dinh. "Research to establish 3D model of mine industrial site area from terrestrial laser scanning and Unmanned aerial vehicle data." Journal of Mining and Earth Sciences 63, no. 5 (October 31, 2022): 25–36. http://dx.doi.org/10.46326/jmes.2022.63(5).03.

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In recent years, three-dimensional (3D) models are being built in many fields including mining. These products are often used to develop a database of smart mines which in terms can be used in the management of production in underground coal mines. Unmanned aerial vehicle (UAV) and terrestrial laser scanning (TLS) technologies are known as the two main technologies that quickly and accurately collect 3D point cloud (PC) data. This article presents the integration of a 3D point cloud produced from UAV photos and TLS to build a detailed 3D model for the ground plant at the level of +35 m in the Nui Beo underground coal mine. To collect data, a DJI Phantom 4 Advanced drone was used to take photos in three modes: a shot angle of 900, a 3D grid with a 450 angle, and a circular flight orbit with 450 and 600 shooting angles. A Faro Focus3D X130 laser scanner was used for scanning the mine shaft’s tower to fill the missing point cloud of the UAV. The PC established by both methods was evaluated for accuracy based on the control points measured by a Leica TS09 total station, which was merged by the Iterative Closest Point (ICP) algorithm. The integrated PC met the accuracy requirement of establishing a 3D model of the study area with the level of detail 3 in the CityGML standard.
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Puskás-Tompos, András, and Adrian Tantau. "The role of Aggregators in DSM in the context of Business Digitization." Proceedings of the International Conference on Business Excellence 15, no. 1 (December 1, 2021): 480–93. http://dx.doi.org/10.2478/picbe-2021-0044.

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Abstract Nowadays electricity trading and supply are evolving rapidly due to the digitalization of the electricity industry. This evolution is also generated by the development of many new business models in the field and also by new technologies in the form of smart meters, smart grids, smart homes, demand response, artificial intelligence, peer-to-peer trading, Internet of Things or Blockchain. All these technologies together have a huge contribution to the field of electricity and jointly create the digitalization of the electricity generation, transportation, supply and trading. The aim of the research paper is to determine the degree to which consumers agree to work with an Aggregator to implement demand response. In addition, we have an interest in searching what makes them more attractive to electricity prosumers and consumers (both households and industry) as well as identifying those triggers which make electricity consumers or prosumers to start utilizing them. We have to bear in mind that Demand Side Management besides offering incentives and monetary benefits also assists end consumers and prosumers in energy management in the meaning of decreasing energy wastes and increasing the level of optimal generation and consumption. Beyond the above mentioned facts, the focus is on the decrease of carbon dioxide emissions generated by pollutant fossil fuel electricity generation and positively affecting global warming, without endangering the proper functioning of electricity systems. Education and awareness have a huge role in achieving a more rational, optimal and conscious consumption of electricity through Demand Side Management. The issue has to be raised to the level of importance and acceptance similar to what recycling of other recyclable materials have nowadays, such as paper, plastic, various metals and glass.
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PUSKÁS-TOMPOS, András. "Acceptance of Aggregators in Demand Response Programs During the Age of Renewable Energy." International Journal of Advanced Engineering and Management Research 07, no. 04 (2022): 16–35. http://dx.doi.org/10.51505/ijaemr.2022.7402.

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These days electricity supply and trading are developing quickly due to the digitalization of the energy industry. This development is also generated by the evolution of many new business models in the field and also by new technologies in form of smart grids, smart meters, demand response, smart homes peer-to-peer trading, blockchain, Internet of Things and not the least artificial intelligence. These technologies altogether have a great contribution to the field of electricity, furthermore conjointly make the digitalization of the electricity supply, trading, generation and transportation. The objective of the research is to determine the degree to which consumers agree to work with an aggregator to implement demand response programs. Additionally, there is an interest to research those services what makes these programs more attractive to electricity prosumers and consumers (both households and industry) as well to identify those triggers which make electricity consumers or prosumers to start utilizing them. We have to keep in mind that demand-side management beside offering monetary benefits and incentives, also assists final consumers and prosumers in energy management in the meaning of increasing the level of optimal generation and consumption and decreasing energy wastes. Beyond the abovementioned facts, the aim is on the decrease of carbon dioxide emissions generated by pollutant fossil fuel electricity generation and positively affecting global warming, without endangering the good functioning of electricity systems. Awareness and education have a greater role in achieving a more rational, conscious and optimal consumption of electricity though demand response programs. The issue has to be raised to the level of acceptance and importance similar to what recycling of other recyclable materials have these days, such as plastic, paper, various glass and metals.
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Mandza, Yann Stephen, and Atanda Raji. "IoTivity Cloud-Enabled Platform for Energy Management Applications." IoT 3, no. 1 (December 27, 2021): 73–90. http://dx.doi.org/10.3390/iot3010004.

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In developing countries today, population growth and the penetration of higher standard of living appliances in homes has resulted in a rapidly increasing residential load. In South Africa, the recent rolling blackouts and electricity price increase only highlighted this reality, calling for sustainable measures to reduce overall consumption and peak load. The dawn of the smart grid concept, embedded systems, and ICTs have paved the way for novel Home Energy Management Systems (HEMS) design. In this regard, the Internet of Things (IoT), an enabler for intelligent and efficient energy management systems, is the subject of increasing attention for optimizing HEMS design and mitigating its deployment cost constraints. In this work, we propose an IoT platform for residential energy management applications focusing on interoperability, low cost, technology availability, and scalability. We addressed the backend complexities of IoT Home Area Networks (HAN) using the Open Consortium Foundation (OCF) IoTivity-Lite middleware. To augment the quality, servicing, reduce the cost, and the development complexities, this work leverages open-source cloud technologies from Back4App as Backend-as-a-Service (BaaS) to provide consumers and utilities with a data communication platform within an experimental study illustrating time and space agnostic “mind-changing” energy feedback, Demand Response Management (DRM) under a peak shaving algorithm yielded peak load reduction around 15% of the based load, and appliance operation control using a HEM App via an Android smartphone.
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46

Veloso, Artur Felipe da Silva, José Valdemir Reis Júnior, Ricardo de Andrade Lira Rabelo, and Jocines Dela-flora Silveira. "HyDSMaaS: A Hybrid Communication Infrastructure with LoRaWAN and LoraMesh for the Demand Side Management as a Service." Future Internet 13, no. 11 (October 26, 2021): 271. http://dx.doi.org/10.3390/fi13110271.

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Abstract:
Seeking to solve problems in the power electric system (PES) related to exacerbated and uncontrolled energy consumption by final consumers such as residences, condominiums, public buildings and industries, electric power companies (EPC) are increasingly seeking new information and communication technologies (ICTs) to transform traditional electric power distribution networks into smart grids (SG). With this implementation, PES will be able to remotely control electric power consumption as well as monitor data generated by smart meters (SM). However, Internet-of-Things (IoT) technologies will enable all this to happen quickly and at low cost, since they are low-cost devices that can be deployed quickly and at scale in these scenarios. With this in mind, this work aimed to study, propose, and implement a hybrid communication infrastructure with LoRaWAN and LoraMesh for the demand-side management as a service (HyDSMaaS) using IoT devices such as long range (LoRa) to provide an advanced metering infrastructure (AMI) capable of performing all these applications as a service offered by EPC to end consumers. Additionally, services such as demand-side management (DSMaaS) can be used in this infrastructure. From the preliminary results it was found that the LoRaWAN network achieved a range of up to 2.35 km distance and the LoRaMESH one of 600 m; thus, the latter is more suitable for scenarios where there is little interference and the SMs are at long distances, while the other is used for scenarios with greater agglomeration of nearby SMs. Considering the hybridized scenario between LoraWAN and LoRaMESH, it can be seen that the implementation possibilities increase, since its range was approximately 3 km considering only one hop, and it can reach 1023 devices present in a mesh network. Thus, it was possible to propose the actual implementation of LoRaWAN and LoRaMESH protocols as well as the hybridization of the two protocols for HyDSMaaS. Additionally, the results obtained are exclusively from Radioenge’s LoRa technology, which can be further improved in the case of using more powerful equipment.
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47

Alqahtani, Sarra, and Rose Gamble. "Volume 2, Issue 3, Special issue on Recent Advances in Engineering Systems (Published Papers) Articles Transmit / Received Beamforming for Frequency Diverse Array with Symmetrical frequency offsets Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 1-6 (2017); View Description Detailed Analysis of Amplitude and Slope Diffraction Coefficients for knife-edge structure in S-UTD-CH Model Eray Arik, Mehmet Baris Tabakcioglu Adv. Sci. Technol. Eng. Syst. J. 2(3), 7-11 (2017); View Description Applications of Case Based Organizational Memory Supported by the PAbMM Architecture Martín, María de los Ángeles, Diván, Mario José Adv. Sci. Technol. Eng. Syst. J. 2(3), 12-23 (2017); View Description Low Probability of Interception Beampattern Using Frequency Diverse Array Antenna Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 24-29 (2017); View Description Zero Trust Cloud Networks using Transport Access Control and High Availability Optical Bypass Switching Casimer DeCusatis, Piradon Liengtiraphan, Anthony Sager Adv. Sci. Technol. Eng. Syst. J. 2(3), 30-35 (2017); View Description A Derived Metrics as a Measurement to Support Efficient Requirements Analysis and Release Management Indranil Nath Adv. Sci. Technol. Eng. Syst. J. 2(3), 36-40 (2017); View Description Feedback device of temperature sensation for a myoelectric prosthetic hand Yuki Ueda, Chiharu Ishii Adv. Sci. Technol. Eng. Syst. J. 2(3), 41-40 (2017); View Description Deep venous thrombus characterization: ultrasonography, elastography and scattering operator Thibaud Berthomier, Ali Mansour, Luc Bressollette, Frédéric Le Roy, Dominique Mottier Adv. Sci. Technol. Eng. Syst. J. 2(3), 48-59 (2017); View Description Improving customs’ border control by creating a reference database of cargo inspection X-ray images Selina Kolokytha, Alexander Flisch, Thomas Lüthi, Mathieu Plamondon, Adrian Schwaninger, Wicher Vasser, Diana Hardmeier, Marius Costin, Caroline Vienne, Frank Sukowski, Ulf Hassler, Irène Dorion, Najib Gadi, Serge Maitrejean, Abraham Marciano, Andrea Canonica, Eric Rochat, Ger Koomen, Micha Slegt Adv. Sci. Technol. Eng. Syst. J. 2(3), 60-66 (2017); View Description Aviation Navigation with Use of Polarimetric Technologies Arsen Klochan, Ali Al-Ammouri, Viktor Romanenko, Vladimir Tronko Adv. Sci. Technol. Eng. Syst. J. 2(3), 67-72 (2017); View Description Optimization of Multi-standard Transmitter Architecture Using Single-Double Conversion Technique Used for Rescue Operations Riadh Essaadali, Said Aliouane, Chokri Jebali and Ammar Kouki Adv. Sci. Technol. Eng. Syst. J. 2(3), 73-81 (2017); View Description Singular Integral Equations in Electromagnetic Waves Reflection Modeling A. S. Ilinskiy, T. N. Galishnikova Adv. Sci. Technol. Eng. Syst. J. 2(3), 82-87 (2017); View Description Methodology for Management of Information Security in Industrial Control Systems: A Proof of Concept aligned with Enterprise Objectives. Fabian Bustamante, Walter Fuertes, Paul Diaz, Theofilos Toulqueridis Adv. Sci. Technol. Eng. Syst. J. 2(3), 88-99 (2017); View Description Dependence-Based Segmentation Approach for Detecting Morpheme Boundaries Ahmed Khorsi, Abeer Alsheddi Adv. Sci. Technol. Eng. Syst. J. 2(3), 100-110 (2017); View Description Paper Improving Rule Based Stemmers to Solve Some Special Cases of Arabic Language Soufiane Farrah, Hanane El Manssouri, Ziyati Elhoussaine, Mohamed Ouzzif Adv. Sci. Technol. Eng. Syst. J. 2(3), 111-115 (2017); View Description Medical imbalanced data classification Sara Belarouci, Mohammed Amine Chikh Adv. Sci. Technol. Eng. Syst. J. 2(3), 116-124 (2017); View Description ADOxx Modelling Method Conceptualization Environment Nesat Efendioglu, Robert Woitsch, Wilfrid Utz, Damiano Falcioni Adv. Sci. Technol. Eng. Syst. J. 2(3), 125-136 (2017); View Description GPSR+Predict: An Enhancement for GPSR to Make Smart Routing Decision by Anticipating Movement of Vehicles in VANETs Zineb Squalli Houssaini, Imane Zaimi, Mohammed Oumsis, Saïd El Alaoui Ouatik Adv. Sci. Technol. Eng. Syst. J. 2(3), 137-146 (2017); View Description Optimal Synthesis of Universal Space Vector Digital Algorithm for Matrix Converters Adrian Popovici, Mircea Băbăiţă, Petru Papazian Adv. Sci. Technol. Eng. Syst. J. 2(3), 147-152 (2017); View Description Control design for axial flux permanent magnet synchronous motor which operates above the nominal speed Xuan Minh Tran, Nhu Hien Nguyen, Quoc Tuan Duong Adv. Sci. Technol. Eng. Syst. J. 2(3), 153-159 (2017); View Description A synchronizing second order sliding mode control applied to decentralized time delayed multi−agent robotic systems: Stability Proof Marwa Fathallah, Fatma Abdelhedi, Nabil Derbel Adv. Sci. Technol. Eng. Syst. J. 2(3), 160-170 (2017); View Description Fault Diagnosis and Tolerant Control Using Observer Banks Applied to Continuous Stirred Tank Reactor Martin F. Pico, Eduardo J. Adam Adv. Sci. Technol. Eng. Syst. J. 2(3), 171-181 (2017); View Description Development and Validation of a Heat Pump System Model Using Artificial Neural Network Nabil Nassif, Jordan Gooden Adv. Sci. Technol. Eng. Syst. J. 2(3), 182-185 (2017); View Description Assessment of the usefulness and appeal of stigma-stop by psychology students: a serious game designed to reduce the stigma of mental illness Adolfo J. Cangas, Noelia Navarro, Juan J. Ojeda, Diego Cangas, Jose A. Piedra, José Gallego Adv. Sci. Technol. Eng. Syst. J. 2(3), 186-190 (2017); View Description Kinect-Based Moving Human Tracking System with Obstacle Avoidance Abdel Mehsen Ahmad, Zouhair Bazzal, Hiba Al Youssef Adv. Sci. Technol. Eng. Syst. J. 2(3), 191-197 (2017); View Description A security approach based on honeypots: Protecting Online Social network from malicious profiles Fatna Elmendili, Nisrine Maqran, Younes El Bouzekri El Idrissi, Habiba Chaoui Adv. Sci. Technol. Eng. Syst. J. 2(3), 198-204 (2017); View Description Pulse Generator for Ultrasonic Piezoelectric Transducer Arrays Based on a Programmable System-on-Chip (PSoC) Pedro Acevedo, Martín Fuentes, Joel Durán, Mónica Vázquez, Carlos Díaz Adv. Sci. Technol. Eng. Syst. J. 2(3), 205-209 (2017); View Description Enabling Toy Vehicles Interaction With Visible Light Communication (VLC) M. A. Ilyas, M. B. Othman, S. M. Shah, Mas Fawzi Adv. Sci. Technol. Eng. Syst. J. 2(3), 210-216 (2017); View Description Analysis of Fractional-Order 2xn RLC Networks by Transmission Matrices Mahmut Ün, Manolya Ün Adv. Sci. Technol. Eng. Syst. J. 2(3), 217-220 (2017); View Description Fire extinguishing system in large underground garages Ivan Antonov, Rositsa Velichkova, Svetlin Antonov, Kamen Grozdanov, Milka Uzunova, Ikram El Abbassi Adv. Sci. Technol. Eng. Syst. J. 2(3), 221-226 (2017); View Description Directional Antenna Modulation Technique using A Two-Element Frequency Diverse Array Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 227-232 (2017); View Description Classifying region of interests from mammograms with breast cancer into BIRADS using Artificial Neural Networks Estefanía D. Avalos-Rivera, Alberto de J. Pastrana-Palma Adv. Sci. Technol. Eng. Syst. J. 2(3), 233-240 (2017); View Description Magnetically Levitated and Guided Systems Florian Puci, Miroslav Husak Adv. Sci. Technol. Eng. Syst. J. 2(3), 241-244 (2017); View Description Energy-Efficient Mobile Sensing in Distributed Multi-Agent Sensor Networks Minh T. Nguyen Adv. Sci. Technol. Eng. Syst. J. 2(3), 245-253 (2017); View Description Validity and efficiency of conformal anomaly detection on big distributed data Ilia Nouretdinov Adv. Sci. Technol. Eng. Syst. J. 2(3), 254-267 (2017); View Description S-Parameters Optimization in both Segmented and Unsegmented Insulated TSV upto 40GHz Frequency Juma Mary Atieno, Xuliang Zhang, HE Song Bai Adv. Sci. Technol. Eng. Syst. J. 2(3), 268-276 (2017); View Description Synthesis of Important Design Criteria for Future Vehicle Electric System Lisa Braun, Eric Sax Adv. Sci. Technol. Eng. Syst. J. 2(3), 277-283 (2017); View Description Gestural Interaction for Virtual Reality Environments through Data Gloves G. Rodriguez, N. Jofre, Y. Alvarado, J. Fernández, R. Guerrero Adv. Sci. Technol. Eng. Syst. J. 2(3), 284-290 (2017); View Description Solving the Capacitated Network Design Problem in Two Steps Meriem Khelifi, Mohand Yazid Saidi, Saadi Boudjit Adv. Sci. Technol. Eng. Syst. J. 2(3), 291-301 (2017); View Description A Computationally Intelligent Approach to the Detection of Wormhole Attacks in Wireless Sensor Networks Mohammad Nurul Afsar Shaon, Ken Ferens Adv. Sci. Technol. Eng. Syst. J. 2(3), 302-320 (2017); View Description Real Time Advanced Clustering System Giuseppe Spampinato, Arcangelo Ranieri Bruna, Salvatore Curti, Viviana D’Alto Adv. Sci. Technol. Eng. Syst. J. 2(3), 321-326 (2017); View Description Indoor Mobile Robot Navigation in Unknown Environment Using Fuzzy Logic Based Behaviors Khalid Al-Mutib, Foudil Abdessemed Adv. Sci. Technol. Eng. Syst. J. 2(3), 327-337 (2017); View Description Validity of Mind Monitoring System as a Mental Health Indicator using Voice Naoki Hagiwara, Yasuhiro Omiya, Shuji Shinohara, Mitsuteru Nakamura, Masakazu Higuchi, Shunji Mitsuyoshi, Hideo Yasunaga, Shinichi Tokuno Adv. Sci. Technol. Eng. Syst. J. 2(3), 338-344 (2017); View Description The Model of Adaptive Learning Objects for virtual environments instanced by the competencies Carlos Guevara, Jose Aguilar, Alexandra González-Eras Adv. Sci. Technol. Eng. Syst. J. 2(3), 345-355 (2017); View Description An Overview of Traceability: Towards a general multi-domain model Kamal Souali, Othmane Rahmaoui, Mohammed Ouzzif Adv. Sci. Technol. Eng. Syst. J. 2(3), 356-361 (2017); View Description L-Band SiGe HBT Active Differential Equalizers with Variable, Positive or Negative Gain Slopes Using Dual-Resonant RLC Circuits Yasushi Itoh, Hiroaki Takagi Adv. Sci. Technol. Eng. Syst. J. 2(3), 362-368 (2017); View Description Moving Towards Reliability-Centred Management of Energy, Power and Transportation Assets Kang Seng Seow, Loc K. Nguyen, Kelvin Tan, Kees-Jan Van Oeveren Adv. Sci. Technol. Eng. Syst. J. 2(3), 369-375 (2017); View Description Secure Path Selection under Random Fading Furqan Jameel, Faisal, M Asif Ali Haider, Amir Aziz Butt Adv. Sci. Technol. Eng. Syst. J. 2(3), 376-383 (2017); View Description Security in SWIPT with Power Splitting Eavesdropper Furqan Jameel, Faisal, M Asif Ali Haider, Amir Aziz Butt Adv. Sci. Technol. Eng. Syst. J. 2(3), 384-388 (2017); View Description Performance Analysis of Phased Array and Frequency Diverse Array Radar Ambiguity Functions Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 389-394 (2017); View Description Adaptive Discrete-time Fuzzy Sliding Mode Control For a Class of Chaotic Systems Hanene Medhaffar, Moez Feki, Nabil Derbel Adv. Sci. Technol. Eng. Syst. J. 2(3), 395-400 (2017); View Description Fault Tolerant Inverter Topology for the Sustainable Drive of an Electrical Helicopter Igor Bolvashenkov, Jörg Kammermann, Taha Lahlou, Hans-Georg Herzog Adv. Sci. Technol. Eng. Syst. J. 2(3), 401-411 (2017); View Description Computational Intelligence Methods for Identifying Voltage Sag in Smart Grid Turgay Yalcin, Muammer Ozdemir Adv. Sci. Technol. Eng. Syst. J. 2(3), 412-419 (2017); View Description A Highly-Secured Arithmetic Hiding cum Look-Up Table (AHLUT) based S-Box for AES-128 Implementation Ali Akbar Pammu, Kwen-Siong Chong, Bah-Hwee Gwee Adv. Sci. Technol. Eng. Syst. J. 2(3), 420-426 (2017); View Description Service Productivity and Complexity in Medical Rescue Services Markus Harlacher, Andreas Petz, Philipp Przybysz, Olivia Chaillié, Susanne Mütze-Niewöhner Adv. Sci. Technol. Eng. Syst. J. 2(3), 427-434 (2017); View Description Principal Component Analysis Application on Flavonoids Characterization Che Hafizah Che Noh, Nor Fadhillah Mohamed Azmin, Azura Amid Adv. Sci. Technol. Eng. Syst. J. 2(3), 435-440 (2017); View Description A Reconfigurable Metal-Plasma Yagi-Yuda Antenna for Microwave Applications Giulia Mansutti, Davide Melazzi, Antonio-Daniele Capobianco Adv. Sci. Technol. Eng. Syst. J. 2(3), 441-448 (2017); View Description Verifying the Detection Results of Impersonation Attacks in Service Clouds." Advances in Science, Technology and Engineering Systems Journal 2, no. 3 (May 2017): 449–59. http://dx.doi.org/10.25046/aj020358.

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48

Abdelhedi, Fatma, and Nabil Derbel. "Volume 2, Issue 3, Special issue on Recent Advances in Engineering Systems (Published Papers) Articles Transmit / Received Beamforming for Frequency Diverse Array with Symmetrical frequency offsets Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 1-6 (2017); View Description Detailed Analysis of Amplitude and Slope Diffraction Coefficients for knife-edge structure in S-UTD-CH Model Eray Arik, Mehmet Baris Tabakcioglu Adv. Sci. Technol. Eng. Syst. J. 2(3), 7-11 (2017); View Description Applications of Case Based Organizational Memory Supported by the PAbMM Architecture Martín, María de los Ángeles, Diván, Mario José Adv. Sci. Technol. Eng. Syst. J. 2(3), 12-23 (2017); View Description Low Probability of Interception Beampattern Using Frequency Diverse Array Antenna Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 24-29 (2017); View Description Zero Trust Cloud Networks using Transport Access Control and High Availability Optical Bypass Switching Casimer DeCusatis, Piradon Liengtiraphan, Anthony Sager Adv. Sci. Technol. Eng. Syst. J. 2(3), 30-35 (2017); View Description A Derived Metrics as a Measurement to Support Efficient Requirements Analysis and Release Management Indranil Nath Adv. Sci. Technol. Eng. Syst. J. 2(3), 36-40 (2017); View Description Feedback device of temperature sensation for a myoelectric prosthetic hand Yuki Ueda, Chiharu Ishii Adv. Sci. Technol. Eng. Syst. J. 2(3), 41-40 (2017); View Description Deep venous thrombus characterization: ultrasonography, elastography and scattering operator Thibaud Berthomier, Ali Mansour, Luc Bressollette, Frédéric Le Roy, Dominique Mottier Adv. Sci. Technol. Eng. Syst. J. 2(3), 48-59 (2017); View Description Improving customs’ border control by creating a reference database of cargo inspection X-ray images Selina Kolokytha, Alexander Flisch, Thomas Lüthi, Mathieu Plamondon, Adrian Schwaninger, Wicher Vasser, Diana Hardmeier, Marius Costin, Caroline Vienne, Frank Sukowski, Ulf Hassler, Irène Dorion, Najib Gadi, Serge Maitrejean, Abraham Marciano, Andrea Canonica, Eric Rochat, Ger Koomen, Micha Slegt Adv. Sci. Technol. Eng. Syst. J. 2(3), 60-66 (2017); View Description Aviation Navigation with Use of Polarimetric Technologies Arsen Klochan, Ali Al-Ammouri, Viktor Romanenko, Vladimir Tronko Adv. Sci. Technol. Eng. Syst. J. 2(3), 67-72 (2017); View Description Optimization of Multi-standard Transmitter Architecture Using Single-Double Conversion Technique Used for Rescue Operations Riadh Essaadali, Said Aliouane, Chokri Jebali and Ammar Kouki Adv. Sci. Technol. Eng. Syst. J. 2(3), 73-81 (2017); View Description Singular Integral Equations in Electromagnetic Waves Reflection Modeling A. S. Ilinskiy, T. N. Galishnikova Adv. Sci. Technol. Eng. Syst. J. 2(3), 82-87 (2017); View Description Methodology for Management of Information Security in Industrial Control Systems: A Proof of Concept aligned with Enterprise Objectives. Fabian Bustamante, Walter Fuertes, Paul Diaz, Theofilos Toulqueridis Adv. Sci. Technol. Eng. Syst. J. 2(3), 88-99 (2017); View Description Dependence-Based Segmentation Approach for Detecting Morpheme Boundaries Ahmed Khorsi, Abeer Alsheddi Adv. Sci. Technol. Eng. Syst. J. 2(3), 100-110 (2017); View Description Paper Improving Rule Based Stemmers to Solve Some Special Cases of Arabic Language Soufiane Farrah, Hanane El Manssouri, Ziyati Elhoussaine, Mohamed Ouzzif Adv. Sci. Technol. Eng. Syst. J. 2(3), 111-115 (2017); View Description Medical imbalanced data classification Sara Belarouci, Mohammed Amine Chikh Adv. Sci. Technol. Eng. Syst. J. 2(3), 116-124 (2017); View Description ADOxx Modelling Method Conceptualization Environment Nesat Efendioglu, Robert Woitsch, Wilfrid Utz, Damiano Falcioni Adv. Sci. Technol. Eng. Syst. J. 2(3), 125-136 (2017); View Description GPSR+Predict: An Enhancement for GPSR to Make Smart Routing Decision by Anticipating Movement of Vehicles in VANETs Zineb Squalli Houssaini, Imane Zaimi, Mohammed Oumsis, Saïd El Alaoui Ouatik Adv. Sci. Technol. Eng. Syst. J. 2(3), 137-146 (2017); View Description Optimal Synthesis of Universal Space Vector Digital Algorithm for Matrix Converters Adrian Popovici, Mircea Băbăiţă, Petru Papazian Adv. Sci. Technol. Eng. Syst. J. 2(3), 147-152 (2017); View Description Control design for axial flux permanent magnet synchronous motor which operates above the nominal speed Xuan Minh Tran, Nhu Hien Nguyen, Quoc Tuan Duong Adv. Sci. Technol. Eng. Syst. J. 2(3), 153-159 (2017); View Description A synchronizing second order sliding mode control applied to decentralized time delayed multi−agent robotic systems: Stability Proof Marwa Fathallah, Fatma Abdelhedi, Nabil Derbel Adv. Sci. Technol. Eng. Syst. J. 2(3), 160-170 (2017); View Description Fault Diagnosis and Tolerant Control Using Observer Banks Applied to Continuous Stirred Tank Reactor Martin F. Pico, Eduardo J. Adam Adv. Sci. Technol. Eng. Syst. J. 2(3), 171-181 (2017); View Description Development and Validation of a Heat Pump System Model Using Artificial Neural Network Nabil Nassif, Jordan Gooden Adv. Sci. Technol. Eng. Syst. J. 2(3), 182-185 (2017); View Description Assessment of the usefulness and appeal of stigma-stop by psychology students: a serious game designed to reduce the stigma of mental illness Adolfo J. Cangas, Noelia Navarro, Juan J. Ojeda, Diego Cangas, Jose A. Piedra, José Gallego Adv. Sci. Technol. Eng. Syst. J. 2(3), 186-190 (2017); View Description Kinect-Based Moving Human Tracking System with Obstacle Avoidance Abdel Mehsen Ahmad, Zouhair Bazzal, Hiba Al Youssef Adv. Sci. Technol. Eng. Syst. J. 2(3), 191-197 (2017); View Description A security approach based on honeypots: Protecting Online Social network from malicious profiles Fatna Elmendili, Nisrine Maqran, Younes El Bouzekri El Idrissi, Habiba Chaoui Adv. Sci. Technol. Eng. Syst. J. 2(3), 198-204 (2017); View Description Pulse Generator for Ultrasonic Piezoelectric Transducer Arrays Based on a Programmable System-on-Chip (PSoC) Pedro Acevedo, Martín Fuentes, Joel Durán, Mónica Vázquez, Carlos Díaz Adv. Sci. Technol. Eng. Syst. J. 2(3), 205-209 (2017); View Description Enabling Toy Vehicles Interaction With Visible Light Communication (VLC) M. A. Ilyas, M. B. Othman, S. M. Shah, Mas Fawzi Adv. Sci. Technol. Eng. Syst. J. 2(3), 210-216 (2017); View Description Analysis of Fractional-Order 2xn RLC Networks by Transmission Matrices Mahmut Ün, Manolya Ün Adv. Sci. Technol. Eng. Syst. J. 2(3), 217-220 (2017); View Description Fire extinguishing system in large underground garages Ivan Antonov, Rositsa Velichkova, Svetlin Antonov, Kamen Grozdanov, Milka Uzunova, Ikram El Abbassi Adv. Sci. Technol. Eng. Syst. J. 2(3), 221-226 (2017); View Description Directional Antenna Modulation Technique using A Two-Element Frequency Diverse Array Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 227-232 (2017); View Description Classifying region of interests from mammograms with breast cancer into BIRADS using Artificial Neural Networks Estefanía D. Avalos-Rivera, Alberto de J. Pastrana-Palma Adv. Sci. Technol. Eng. Syst. J. 2(3), 233-240 (2017); View Description Magnetically Levitated and Guided Systems Florian Puci, Miroslav Husak Adv. Sci. Technol. Eng. Syst. J. 2(3), 241-244 (2017); View Description Energy-Efficient Mobile Sensing in Distributed Multi-Agent Sensor Networks Minh T. Nguyen Adv. Sci. Technol. Eng. Syst. J. 2(3), 245-253 (2017); View Description Validity and efficiency of conformal anomaly detection on big distributed data Ilia Nouretdinov Adv. Sci. Technol. Eng. Syst. J. 2(3), 254-267 (2017); View Description S-Parameters Optimization in both Segmented and Unsegmented Insulated TSV upto 40GHz Frequency Juma Mary Atieno, Xuliang Zhang, HE Song Bai Adv. Sci. Technol. Eng. Syst. J. 2(3), 268-276 (2017); View Description Synthesis of Important Design Criteria for Future Vehicle Electric System Lisa Braun, Eric Sax Adv. Sci. Technol. Eng. Syst. J. 2(3), 277-283 (2017); View Description Gestural Interaction for Virtual Reality Environments through Data Gloves G. Rodriguez, N. Jofre, Y. Alvarado, J. Fernández, R. Guerrero Adv. Sci. Technol. Eng. Syst. J. 2(3), 284-290 (2017); View Description Solving the Capacitated Network Design Problem in Two Steps Meriem Khelifi, Mohand Yazid Saidi, Saadi Boudjit Adv. Sci. Technol. Eng. Syst. J. 2(3), 291-301 (2017); View Description A Computationally Intelligent Approach to the Detection of Wormhole Attacks in Wireless Sensor Networks Mohammad Nurul Afsar Shaon, Ken Ferens Adv. Sci. Technol. Eng. Syst. J. 2(3), 302-320 (2017); View Description Real Time Advanced Clustering System Giuseppe Spampinato, Arcangelo Ranieri Bruna, Salvatore Curti, Viviana D’Alto Adv. Sci. Technol. Eng. Syst. J. 2(3), 321-326 (2017); View Description Indoor Mobile Robot Navigation in Unknown Environment Using Fuzzy Logic Based Behaviors Khalid Al-Mutib, Foudil Abdessemed Adv. Sci. Technol. Eng. Syst. J. 2(3), 327-337 (2017); View Description Validity of Mind Monitoring System as a Mental Health Indicator using Voice Naoki Hagiwara, Yasuhiro Omiya, Shuji Shinohara, Mitsuteru Nakamura, Masakazu Higuchi, Shunji Mitsuyoshi, Hideo Yasunaga, Shinichi Tokuno Adv. Sci. Technol. Eng. Syst. J. 2(3), 338-344 (2017); View Description The Model of Adaptive Learning Objects for virtual environments instanced by the competencies Carlos Guevara, Jose Aguilar, Alexandra González-Eras Adv. Sci. Technol. Eng. Syst. J. 2(3), 345-355 (2017); View Description An Overview of Traceability: Towards a general multi-domain model Kamal Souali, Othmane Rahmaoui, Mohammed Ouzzif Adv. Sci. Technol. Eng. Syst. J. 2(3), 356-361 (2017); View Description L-Band SiGe HBT Active Differential Equalizers with Variable, Positive or Negative Gain Slopes Using Dual-Resonant RLC Circuits Yasushi Itoh, Hiroaki Takagi Adv. Sci. Technol. Eng. Syst. J. 2(3), 362-368 (2017); View Description Moving Towards Reliability-Centred Management of Energy, Power and Transportation Assets Kang Seng Seow, Loc K. Nguyen, Kelvin Tan, Kees-Jan Van Oeveren Adv. Sci. Technol. Eng. Syst. J. 2(3), 369-375 (2017); View Description Secure Path Selection under Random Fading Furqan Jameel, Faisal, M Asif Ali Haider, Amir Aziz Butt Adv. Sci. Technol. Eng. Syst. J. 2(3), 376-383 (2017); View Description Security in SWIPT with Power Splitting Eavesdropper Furqan Jameel, Faisal, M Asif Ali Haider, Amir Aziz Butt Adv. Sci. Technol. Eng. Syst. J. 2(3), 384-388 (2017); View Description Performance Analysis of Phased Array and Frequency Diverse Array Radar Ambiguity Functions Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 389-394 (2017); View Description Adaptive Discrete-time Fuzzy Sliding Mode Control For a Class of Chaotic Systems Hanene Medhaffar, Moez Feki, Nabil Derbel Adv. Sci. Technol. Eng. Syst. J. 2(3), 395-400 (2017); View Description Fault Tolerant Inverter Topology for the Sustainable Drive of an Electrical Helicopter Igor Bolvashenkov, Jörg Kammermann, Taha Lahlou, Hans-Georg Herzog Adv. Sci. Technol. Eng. Syst. J. 2(3), 401-411 (2017); View Description Computational Intelligence Methods for Identifying Voltage Sag in Smart Grid Turgay Yalcin, Muammer Ozdemir Adv. Sci. Technol. Eng. Syst. J. 2(3), 412-419 (2017); View Description A Highly-Secured Arithmetic Hiding cum Look-Up Table (AHLUT) based S-Box for AES-128 Implementation Ali Akbar Pammu, Kwen-Siong Chong, Bah-Hwee Gwee Adv. Sci. Technol. Eng. Syst. J. 2(3), 420-426 (2017); View Description Service Productivity and Complexity in Medical Rescue Services Markus Harlacher, Andreas Petz, Philipp Przybysz, Olivia Chaillié, Susanne Mütze-Niewöhner Adv. Sci. Technol. Eng. Syst. J. 2(3), 427-434 (2017); View Description Principal Component Analysis Application on Flavonoids Characterization Che Hafizah Che Noh, Nor Fadhillah Mohamed Azmin, Azura Amid Adv. Sci. Technol. Eng. Syst. J. 2(3), 435-440 (2017); View Description A Reconfigurable Metal-Plasma Yagi-Yuda Antenna for Microwave Applications Giulia Mansutti, Davide Melazzi, Antonio-Daniele Capobianco Adv. Sci. Technol. Eng. Syst. J. 2(3), 441-448 (2017); View Description Verifying the Detection Results of Impersonation Attacks in Service Clouds Sarra Alqahtani, Rose Gamble Adv. Sci. Technol. Eng. Syst. J. 2(3), 449-459 (2017); View Description Image Segmentation Using Fuzzy Inference System on YCbCr Color Model Alvaro Anzueto-Rios, Jose Antonio Moreno-Cadenas, Felipe Gómez-Castañeda, Sergio Garduza-Gonzalez Adv. Sci. Technol. Eng. Syst. J. 2(3), 460-468 (2017); View Description Segmented and Detailed Visualization of Anatomical Structures based on Augmented Reality for Health Education and Knowledge Discovery Isabel Cristina Siqueira da Silva, Gerson Klein, Denise Munchen Brandão Adv. Sci. Technol. Eng. Syst. J. 2(3), 469-478 (2017); View Description Intrusion detection in cloud computing based attack patterns and risk assessment Ben Charhi Youssef, Mannane Nada, Bendriss Elmehdi, Regragui Boubker Adv. Sci. Technol. Eng. Syst. J. 2(3), 479-484 (2017); View Description Optimal Sizing and Control Strategy of renewable hybrid systems PV-Diesel Generator-Battery: application to the case of Djanet city of Algeria Adel Yahiaoui, Khelifa Benmansour, Mohamed Tadjine Adv. Sci. Technol. Eng. Syst. J. 2(3), 485-491 (2017); View Description RFID Antenna Near-field Characterization Using a New 3D Magnetic Field Probe Kassem Jomaa, Fabien Ndagijimana, Hussam Ayad, Majida Fadlallah, Jalal Jomaah Adv. Sci. Technol. Eng. Syst. J. 2(3), 492-497 (2017); View Description Design, Fabrication and Testing of a Dual-Range XY Micro-Motion Stage Driven by Voice Coil Actuators Xavier Herpe, Matthew Dunnigan, Xianwen Kong Adv. Sci. Technol. Eng. Syst. J. 2(3), 498-504 (2017); View Description Self-Organizing Map based Feature Learning in Bio-Signal Processing Marwa Farouk Ibrahim Ibrahim, Adel Ali Al-Jumaily Adv. Sci. Technol. Eng. Syst. J. 2(3), 505-512 (2017); View Description A delay-dependent distributed SMC for stabilization of a networked robotic system exposed to external disturbances." Advances in Science, Technology and Engineering Systems Journal 2, no. 3 (June 2016): 513–19. http://dx.doi.org/10.25046/aj020366.

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Biran, Yahav, George Collins, Borky John M, and Joel Dubow. "Volume 2, Issue 3, Special issue on Recent Advances in Engineering Systems (Published Papers) Articles Transmit / Received Beamforming for Frequency Diverse Array with Symmetrical frequency offsets Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 1-6 (2017); View Description Detailed Analysis of Amplitude and Slope Diffraction Coefficients for knife-edge structure in S-UTD-CH Model Eray Arik, Mehmet Baris Tabakcioglu Adv. Sci. Technol. Eng. Syst. J. 2(3), 7-11 (2017); View Description Applications of Case Based Organizational Memory Supported by the PAbMM Architecture Martín, María de los Ángeles, Diván, Mario José Adv. Sci. Technol. Eng. Syst. J. 2(3), 12-23 (2017); View Description Low Probability of Interception Beampattern Using Frequency Diverse Array Antenna Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 24-29 (2017); View Description Zero Trust Cloud Networks using Transport Access Control and High Availability Optical Bypass Switching Casimer DeCusatis, Piradon Liengtiraphan, Anthony Sager Adv. Sci. Technol. Eng. Syst. J. 2(3), 30-35 (2017); View Description A Derived Metrics as a Measurement to Support Efficient Requirements Analysis and Release Management Indranil Nath Adv. Sci. Technol. Eng. Syst. J. 2(3), 36-40 (2017); View Description Feedback device of temperature sensation for a myoelectric prosthetic hand Yuki Ueda, Chiharu Ishii Adv. Sci. Technol. Eng. Syst. J. 2(3), 41-40 (2017); View Description Deep venous thrombus characterization: ultrasonography, elastography and scattering operator Thibaud Berthomier, Ali Mansour, Luc Bressollette, Frédéric Le Roy, Dominique Mottier Adv. Sci. Technol. Eng. Syst. J. 2(3), 48-59 (2017); View Description Improving customs’ border control by creating a reference database of cargo inspection X-ray images Selina Kolokytha, Alexander Flisch, Thomas Lüthi, Mathieu Plamondon, Adrian Schwaninger, Wicher Vasser, Diana Hardmeier, Marius Costin, Caroline Vienne, Frank Sukowski, Ulf Hassler, Irène Dorion, Najib Gadi, Serge Maitrejean, Abraham Marciano, Andrea Canonica, Eric Rochat, Ger Koomen, Micha Slegt Adv. Sci. Technol. Eng. Syst. J. 2(3), 60-66 (2017); View Description Aviation Navigation with Use of Polarimetric Technologies Arsen Klochan, Ali Al-Ammouri, Viktor Romanenko, Vladimir Tronko Adv. Sci. Technol. Eng. Syst. J. 2(3), 67-72 (2017); View Description Optimization of Multi-standard Transmitter Architecture Using Single-Double Conversion Technique Used for Rescue Operations Riadh Essaadali, Said Aliouane, Chokri Jebali and Ammar Kouki Adv. Sci. Technol. Eng. Syst. J. 2(3), 73-81 (2017); View Description Singular Integral Equations in Electromagnetic Waves Reflection Modeling A. S. Ilinskiy, T. N. Galishnikova Adv. Sci. Technol. Eng. Syst. J. 2(3), 82-87 (2017); View Description Methodology for Management of Information Security in Industrial Control Systems: A Proof of Concept aligned with Enterprise Objectives. Fabian Bustamante, Walter Fuertes, Paul Diaz, Theofilos Toulqueridis Adv. Sci. Technol. Eng. Syst. J. 2(3), 88-99 (2017); View Description Dependence-Based Segmentation Approach for Detecting Morpheme Boundaries Ahmed Khorsi, Abeer Alsheddi Adv. Sci. Technol. Eng. Syst. J. 2(3), 100-110 (2017); View Description Paper Improving Rule Based Stemmers to Solve Some Special Cases of Arabic Language Soufiane Farrah, Hanane El Manssouri, Ziyati Elhoussaine, Mohamed Ouzzif Adv. Sci. Technol. Eng. Syst. J. 2(3), 111-115 (2017); View Description Medical imbalanced data classification Sara Belarouci, Mohammed Amine Chikh Adv. Sci. Technol. Eng. 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J. 2(3), 153-159 (2017); View Description A synchronizing second order sliding mode control applied to decentralized time delayed multi−agent robotic systems: Stability Proof Marwa Fathallah, Fatma Abdelhedi, Nabil Derbel Adv. Sci. Technol. Eng. Syst. J. 2(3), 160-170 (2017); View Description Fault Diagnosis and Tolerant Control Using Observer Banks Applied to Continuous Stirred Tank Reactor Martin F. Pico, Eduardo J. Adam Adv. Sci. Technol. Eng. Syst. J. 2(3), 171-181 (2017); View Description Development and Validation of a Heat Pump System Model Using Artificial Neural Network Nabil Nassif, Jordan Gooden Adv. Sci. Technol. Eng. Syst. J. 2(3), 182-185 (2017); View Description Assessment of the usefulness and appeal of stigma-stop by psychology students: a serious game designed to reduce the stigma of mental illness Adolfo J. Cangas, Noelia Navarro, Juan J. Ojeda, Diego Cangas, Jose A. Piedra, José Gallego Adv. Sci. Technol. Eng. Syst. J. 2(3), 186-190 (2017); View Description Kinect-Based Moving Human Tracking System with Obstacle Avoidance Abdel Mehsen Ahmad, Zouhair Bazzal, Hiba Al Youssef Adv. Sci. Technol. Eng. Syst. J. 2(3), 191-197 (2017); View Description A security approach based on honeypots: Protecting Online Social network from malicious profiles Fatna Elmendili, Nisrine Maqran, Younes El Bouzekri El Idrissi, Habiba Chaoui Adv. Sci. Technol. Eng. Syst. J. 2(3), 198-204 (2017); View Description Pulse Generator for Ultrasonic Piezoelectric Transducer Arrays Based on a Programmable System-on-Chip (PSoC) Pedro Acevedo, Martín Fuentes, Joel Durán, Mónica Vázquez, Carlos Díaz Adv. Sci. Technol. Eng. Syst. J. 2(3), 205-209 (2017); View Description Enabling Toy Vehicles Interaction With Visible Light Communication (VLC) M. A. Ilyas, M. B. Othman, S. M. Shah, Mas Fawzi Adv. Sci. Technol. Eng. Syst. 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J. 2(3), 241-244 (2017); View Description Energy-Efficient Mobile Sensing in Distributed Multi-Agent Sensor Networks Minh T. Nguyen Adv. Sci. Technol. Eng. Syst. J. 2(3), 245-253 (2017); View Description Validity and efficiency of conformal anomaly detection on big distributed data Ilia Nouretdinov Adv. Sci. Technol. Eng. Syst. J. 2(3), 254-267 (2017); View Description S-Parameters Optimization in both Segmented and Unsegmented Insulated TSV upto 40GHz Frequency Juma Mary Atieno, Xuliang Zhang, HE Song Bai Adv. Sci. Technol. Eng. Syst. J. 2(3), 268-276 (2017); View Description Synthesis of Important Design Criteria for Future Vehicle Electric System Lisa Braun, Eric Sax Adv. Sci. Technol. Eng. Syst. J. 2(3), 277-283 (2017); View Description Gestural Interaction for Virtual Reality Environments through Data Gloves G. Rodriguez, N. Jofre, Y. Alvarado, J. Fernández, R. Guerrero Adv. Sci. Technol. Eng. Syst. J. 2(3), 284-290 (2017); View Description Solving the Capacitated Network Design Problem in Two Steps Meriem Khelifi, Mohand Yazid Saidi, Saadi Boudjit Adv. Sci. Technol. Eng. Syst. J. 2(3), 291-301 (2017); View Description A Computationally Intelligent Approach to the Detection of Wormhole Attacks in Wireless Sensor Networks Mohammad Nurul Afsar Shaon, Ken Ferens Adv. Sci. Technol. Eng. Syst. J. 2(3), 302-320 (2017); View Description Real Time Advanced Clustering System Giuseppe Spampinato, Arcangelo Ranieri Bruna, Salvatore Curti, Viviana D’Alto Adv. Sci. Technol. Eng. Syst. J. 2(3), 321-326 (2017); View Description Indoor Mobile Robot Navigation in Unknown Environment Using Fuzzy Logic Based Behaviors Khalid Al-Mutib, Foudil Abdessemed Adv. Sci. Technol. Eng. Syst. J. 2(3), 327-337 (2017); View Description Validity of Mind Monitoring System as a Mental Health Indicator using Voice Naoki Hagiwara, Yasuhiro Omiya, Shuji Shinohara, Mitsuteru Nakamura, Masakazu Higuchi, Shunji Mitsuyoshi, Hideo Yasunaga, Shinichi Tokuno Adv. Sci. Technol. Eng. Syst. J. 2(3), 338-344 (2017); View Description The Model of Adaptive Learning Objects for virtual environments instanced by the competencies Carlos Guevara, Jose Aguilar, Alexandra González-Eras Adv. Sci. Technol. Eng. Syst. J. 2(3), 345-355 (2017); View Description An Overview of Traceability: Towards a general multi-domain model Kamal Souali, Othmane Rahmaoui, Mohammed Ouzzif Adv. Sci. Technol. Eng. Syst. J. 2(3), 356-361 (2017); View Description L-Band SiGe HBT Active Differential Equalizers with Variable, Positive or Negative Gain Slopes Using Dual-Resonant RLC Circuits Yasushi Itoh, Hiroaki Takagi Adv. Sci. Technol. Eng. Syst. J. 2(3), 362-368 (2017); View Description Moving Towards Reliability-Centred Management of Energy, Power and Transportation Assets Kang Seng Seow, Loc K. Nguyen, Kelvin Tan, Kees-Jan Van Oeveren Adv. Sci. Technol. Eng. Syst. J. 2(3), 369-375 (2017); View Description Secure Path Selection under Random Fading Furqan Jameel, Faisal, M Asif Ali Haider, Amir Aziz Butt Adv. Sci. Technol. Eng. Syst. J. 2(3), 376-383 (2017); View Description Security in SWIPT with Power Splitting Eavesdropper Furqan Jameel, Faisal, M Asif Ali Haider, Amir Aziz Butt Adv. Sci. Technol. Eng. Syst. J. 2(3), 384-388 (2017); View Description Performance Analysis of Phased Array and Frequency Diverse Array Radar Ambiguity Functions Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 389-394 (2017); View Description Adaptive Discrete-time Fuzzy Sliding Mode Control For a Class of Chaotic Systems Hanene Medhaffar, Moez Feki, Nabil Derbel Adv. Sci. Technol. Eng. Syst. J. 2(3), 395-400 (2017); View Description Fault Tolerant Inverter Topology for the Sustainable Drive of an Electrical Helicopter Igor Bolvashenkov, Jörg Kammermann, Taha Lahlou, Hans-Georg Herzog Adv. Sci. Technol. Eng. Syst. J. 2(3), 401-411 (2017); View Description Computational Intelligence Methods for Identifying Voltage Sag in Smart Grid Turgay Yalcin, Muammer Ozdemir Adv. Sci. Technol. Eng. Syst. J. 2(3), 412-419 (2017); View Description A Highly-Secured Arithmetic Hiding cum Look-Up Table (AHLUT) based S-Box for AES-128 Implementation Ali Akbar Pammu, Kwen-Siong Chong, Bah-Hwee Gwee Adv. Sci. Technol. Eng. Syst. J. 2(3), 420-426 (2017); View Description Service Productivity and Complexity in Medical Rescue Services Markus Harlacher, Andreas Petz, Philipp Przybysz, Olivia Chaillié, Susanne Mütze-Niewöhner Adv. Sci. Technol. Eng. Syst. J. 2(3), 427-434 (2017); View Description Principal Component Analysis Application on Flavonoids Characterization Che Hafizah Che Noh, Nor Fadhillah Mohamed Azmin, Azura Amid Adv. Sci. Technol. Eng. Syst. J. 2(3), 435-440 (2017); View Description A Reconfigurable Metal-Plasma Yagi-Yuda Antenna for Microwave Applications Giulia Mansutti, Davide Melazzi, Antonio-Daniele Capobianco Adv. Sci. Technol. Eng. Syst. J. 2(3), 441-448 (2017); View Description Verifying the Detection Results of Impersonation Attacks in Service Clouds Sarra Alqahtani, Rose Gamble Adv. Sci. Technol. Eng. Syst. J. 2(3), 449-459 (2017); View Description Image Segmentation Using Fuzzy Inference System on YCbCr Color Model Alvaro Anzueto-Rios, Jose Antonio Moreno-Cadenas, Felipe Gómez-Castañeda, Sergio Garduza-Gonzalez Adv. Sci. Technol. Eng. Syst. J. 2(3), 460-468 (2017); View Description Segmented and Detailed Visualization of Anatomical Structures based on Augmented Reality for Health Education and Knowledge Discovery Isabel Cristina Siqueira da Silva, Gerson Klein, Denise Munchen Brandão Adv. Sci. Technol. Eng. Syst. J. 2(3), 469-478 (2017); View Description Intrusion detection in cloud computing based attack patterns and risk assessment Ben Charhi Youssef, Mannane Nada, Bendriss Elmehdi, Regragui Boubker Adv. Sci. Technol. Eng. Syst. J. 2(3), 479-484 (2017); View Description Optimal Sizing and Control Strategy of renewable hybrid systems PV-Diesel Generator-Battery: application to the case of Djanet city of Algeria Adel Yahiaoui, Khelifa Benmansour, Mohamed Tadjine Adv. Sci. Technol. Eng. Syst. J. 2(3), 485-491 (2017); View Description RFID Antenna Near-field Characterization Using a New 3D Magnetic Field Probe Kassem Jomaa, Fabien Ndagijimana, Hussam Ayad, Majida Fadlallah, Jalal Jomaah Adv. Sci. Technol. Eng. Syst. J. 2(3), 492-497 (2017); View Description Design, Fabrication and Testing of a Dual-Range XY Micro-Motion Stage Driven by Voice Coil Actuators Xavier Herpe, Matthew Dunnigan, Xianwen Kong Adv. Sci. Technol. Eng. Syst. J. 2(3), 498-504 (2017); View Description Self-Organizing Map based Feature Learning in Bio-Signal Processing Marwa Farouk Ibrahim Ibrahim, Adel Ali Al-Jumaily Adv. Sci. Technol. Eng. Syst. J. 2(3), 505-512 (2017); View Description A delay-dependent distributed SMC for stabilization of a networked robotic system exposed to external disturbances Fatma Abdelhedi, Nabil Derbel Adv. Sci. Technol. Eng. Syst. J. 2(3), 513-519 (2017); View Description Modelization of cognition, activity and motivation as indicators for Interactive Learning Environment Asmaa Darouich, Faddoul Khoukhi, Khadija Douzi Adv. Sci. Technol. Eng. Syst. J. 2(3), 520-531 (2017); View Description Homemade array of surface coils implementation for small animal magnetic resonance imaging Fernando Yepes-Calderon, Olivier Beuf Adv. Sci. Technol. Eng. Syst. J. 2(3), 532-539 (2017); View Description An Encryption Key for Secure Authentication: The Dynamic Solution Zubayr Khalid, Pritam Paul, Khabbab Zakaria, Himadri Nath Saha Adv. Sci. Technol. Eng. Syst. J. 2(3), 540-544 (2017); View Description Multi-Domain Virtual Network Embedding with Coordinated Link Mapping Shuopeng Li, Mohand Yazid Saidi, Ken Chen Adv. Sci. Technol. Eng. Syst. J. 2(3), 545-552 (2017); View Description Semantic-less Breach Detection of Polymorphic Malware in Federated Cloud." Advances in Science, Technology and Engineering Systems Journal 2, no. 3 (June 2017): 553–61. http://dx.doi.org/10.25046/aj020371.

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da Silva, Luiz C. P., Paulo C. M. Meira, João G. I. Cypriano, Hader A. D. Azzini, and Athila Q. Santos. "Software toolchain to enhance the management and integration of a sustainable campus model." Energy Informatics 4, S2 (September 2021). http://dx.doi.org/10.1186/s42162-021-00154-8.

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Abstract:
AbstractThe aim of this article is to describe a novel ICT-centred methodology and software toolchain to enhance the management of a Smart Campus. The project will be implemented at the University of Campinas through a partnership between UNICAMP, CPFL (local Utility Distribution Company) and the University of Southern Denmark. This project was recently submitted to a strategic and priority call from the Brazilian Regulatory Agency (National Electric Energy Agency – ANEEL, acronym in Portuguese). The project integrates energy efficiency with research and development in distributed generation with an innovative IoT-based DMS energy management tool. These actions comply with the ISCN/GULF Sustainable Campus Chapter policies, signed by UNICAMP a few years ago. This paper is important because it will result in a replicable model for sustainable campuses, with a detailed step-by-step procedure covering local mini-grid EMS, IoT DMS, Mobility, real-time retrofitted efficiency and institutional energy governance.
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